diff --git a/job-postings/23-03-2025/1.txt b/job-postings/23-03-2025/1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..93c14b7b6255c33e23ba8febf84e42e2979daad7
--- /dev/null
+++ b/job-postings/23-03-2025/1.txt
@@ -0,0 +1,45 @@
+About The Role
+
+We are looking for candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, and/or operations research to improve the Uber user experience as well as the overall marketplace performance. You'll be joining the Driver Incentive team to design, evaluate, and build promotional products for drivers
+
+As a Staff machine learning engineer you will solve key business problems including designing incentives structures for drivers, measuring causal impacts of promotions, and creating ML-driven optimizations for marketplace growth. You will work hand in hand with product, engineering, and operations on new product launches, experiment design and algorithm development. We are a fast-moving team and are looking for creative and curious minds to join us!
+
+What You Will Do
+
+Build statistical, optimization, and machine learning models for applications including pricing, targeting, and experimentation.
+Work with engineers and product managers to turn data science prototypes into robust, reliable machine learning (ML) solutions.
+Use data to understand product performance and to identify improvement opportunities.
+Solve ambiguous, challenging business problems using data-driven approaches.
+Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
+Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation.
+Collaborate with cross-functional teams such as product, operations, and marketing to drive system development end-to-end from conceptualization to final product.
+
+Basic Qualifications
+
+Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
+6+ years of industry experience in machine learning, including building and deploying ML models at scale.
+Experience in modern deep learning architectures and probabilistic modeling
+Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
+Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.
+Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
+Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.
+
+Preferred Qualifications
+
+Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods.
+Strong experience in building a wide range of models (e.g. causal inference, optimization, ML) for business applications.
+Experience in algorithm development and rapid prototyping.
+Design, develop, and operationalize econometric models to assess challenging causal problems such as product incrementality and long-term value
+Propose, design, and analyze large scale online experiments and interpret the results to draw actionable conclusions.
+Ability to drive clarity on the best modeling solution for a business objective
+Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from generating ideas to productionizing.
+
+For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
+
+For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
+
+For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
+
+Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
+
+Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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diff --git a/job-postings/23-03-2025/10.txt b/job-postings/23-03-2025/10.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c470c53cdaf7fd005cc500e6ab0d6adecac9fbc5
--- /dev/null
+++ b/job-postings/23-03-2025/10.txt
@@ -0,0 +1,18 @@
+. Principal /Senior Staff /Staff Machine Learning Compiler Engineer
+Bangalore
+Founded in 2023,by Industry veterans HQ in California,US
+We are revolutionizing sustainable AI compute through intuitive software with composable silicon
+. Principal /Senior Staff /Staff Machine Learning Compiler Engineer
+experience-5-20 years
+Responsibilities: Develop and maintain compilers specifically designed for optimizing ML models. This
+includes translating high-level ML model descriptions into efficient mapping to our hardware
+architecture, optimizing for performance metrics such as flop utilization, memory bandwidth, and
+memory capacity.
+- Skills Required: Deep understanding of ML compiler design and optimization techniques, proficiency
+in MLIR and programming languages like C/C++, in-depth knowledge of ML frameworks (PyTorch) and
+Python.
+Contact:
+Uday
+Mulya Technologies
+muday_bhaskar@yahoo.com
+"Mining The Knowledge Community"
\ No newline at end of file
diff --git a/job-postings/23-03-2025/100.txt b/job-postings/23-03-2025/100.txt
new file mode 100644
index 0000000000000000000000000000000000000000..71332b79c8640db999c4e3fa6a8a8068939e2379
--- /dev/null
+++ b/job-postings/23-03-2025/100.txt
@@ -0,0 +1,45 @@
+Location: Poland
+
+We Are
+
+RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
+
+Desired Experience
+
+Expertise in designing and implementing complex IT systems.
+Ability to develop user-friendly, versatile tools.
+Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
+Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
+Deep understanding of algorithms and data structures.
+Initiative and creativity to improve existing solutions.
+Ability to work effectively both within and across teams.
+
+Additional Advantages
+
+Previous experience in the field of Machine Learning is not required, but would be an asset.
+Solid foundation in mathematics.
+Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
+Proven experience with distributed systems.
+Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
+Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
+
+We Offer
+
+A highly competitive salary.
+The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
+Flexible working hours, with the possibility of remote work or working from our office in Warsaw.
+Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
+An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
+The ability to see the immediate impact of your work on the company's business outcomes.
+The possibility of publishing your results.
+
+Daily Responsibilities
+
+Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
+Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
+Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
+Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.
+
+Apply now!
+
+You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/11.txt b/job-postings/23-03-2025/11.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e3b12df5cdfbb2ffe77627533f649186b0d58d17
--- /dev/null
+++ b/job-postings/23-03-2025/11.txt
@@ -0,0 +1,37 @@
+Junior Data Scientist/Machine Learning Engineer 
+
+Location: Cologne, hybrid
+Contract: Permanent
+
+Are you interested in the next big challenge?
+Our client is a big (2k employees in all major cities in Germany) company with several digital products and services on the market that make easier daily life of their customers.
+You will find the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves.
+Now they are looking for a Junior Data Scientist/Machine Learning Engineer with a strong interest in building end-to-end solutions.
+
+
+Requirements:
+
+Good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics
+First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems
+Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow)
+Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products
+Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community
+Very good written and spoken German and English skills
+
+Responsibilities:
+
+You are significantly involved in setting up a data science department, automating related business processes and delivering individually tailored results to the customers
+You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptual design, data preparation, model training and evaluation, and subsequent preparation for go-live
+You manage your training experiments with modern MLOps frameworks such as MLFlow and help to take the product to the next level
+You integrate your models into the product both in terms of content and technology, using cloud technologies (AWS) for example and in close cooperation with the development team
+You keep yourself up to date with the latest developments in machine learning and think with your team about how you can use generative AI models such as Transformers or ChatGPT, for example
+You work in a cross-disciplinary team in direct cooperation with product managers, developers and business intelligence managers
+
+Benefits:
+
+Flexible working time model with four days per week in the office and one day flexibly from the office or from home.
+Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.
+Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc.
+Independent, agile work in small teams with a strong team spirit. Short decision-making processes.
+An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.
+And much more.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/12.txt b/job-postings/23-03-2025/12.txt
new file mode 100644
index 0000000000000000000000000000000000000000..42ad3c1aa5413fbeaeccd69d65d56b441d7fe6ce
--- /dev/null
+++ b/job-postings/23-03-2025/12.txt
@@ -0,0 +1,18 @@
+This a senior position 8+ years of experience is a MUST! 
+C1 and above German fluency also is non-negotiable 
+Qualifications
+Completed scientific university degree (at least Master's degree) in economics, finance, computer science, data science, psychology or a related field
+8-10 years of experience in the field of machine learning, data science and AI
+3+ years of experience in IT program management
+Quick comprehension, willingness to take responsibility and enthusiasm for working in an agile and diverse environment
+Very good communication skills and strong affinity for change management and transformation
+Independent, goal-oriented way of working with a high level of personal responsibility and willingness to take ownership of results
+Hybrid working model: Willingness to be present in Coburg
+
+Responsibilities
+Coordination and active participation in the design of the use case portfolio and added value management incl. business case
+Co-creation and active driving of the change process
+Creation and establishment of concepts for the onboarding and networking of employees in the DA program
+Conception and design of community events and knowledge exchange formats
+Continuous development of the operating model of the DA program
+Helping to shape AI governance incl. regulatory requirements
\ No newline at end of file
diff --git a/job-postings/23-03-2025/13.txt b/job-postings/23-03-2025/13.txt
new file mode 100644
index 0000000000000000000000000000000000000000..52770b2423143f7379f582fc8ad645e7d136a16e
--- /dev/null
+++ b/job-postings/23-03-2025/13.txt
@@ -0,0 +1,22 @@
+We are looking for college students majoring in CS, EE, Stat, Health/Medical/Bio-informatics, Biostat, or similar quantitative areas to join Advanced Analytics team at IQVIA. As interns, you will be able to leverage IQVIA’s vast amount of real-world patient-level health data and meet exciting and challenging business needs such as physician targeting and segmentation, brand optimization, patient phenotyping in delivering real-world projects.
+
+Summary Of Duty
+
+Conduct real-world study to solve data science problems at IQVIA by leveraging state of art methodologies.
+Write code to automate analytical processes or execute analytical plans
+Deliver analytics projects under supervision.
+Publication is not required as the end deliverable but it’s nice to have
+
+Required Skills
+
+Concrete understanding of data science and advanced analytics in the business world
+Proficiency in programming languages such as Python, R, etc.
+Solid programming skills in PyTorch/Keras/TensorFlow (at least one of them).
+Intimate knowledge in Convolutional Neural Network and Semi-supervised Learning concepts and algorithms
+Interests in using data science technique in the health care industry and answering business questions.
+
+IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
+
+IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
+
+The potential base pay range for this role, when annualized, is $31,900.00 - $53,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/14.txt b/job-postings/23-03-2025/14.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8536d511cb459b46a54e1ebc9a32eb7ba9895dd1
--- /dev/null
+++ b/job-postings/23-03-2025/14.txt
@@ -0,0 +1,41 @@
+While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
+
+If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
+
+Roles & Responsibilities
+
+Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes
+LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
+Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.
+AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
+Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
+Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.
+Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
+Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.
+
+Required Skills & Qualifications
+
+Experience:
+8 to 12 years of hands-on experience in machine learning and AI engineering.
+Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
+Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
+Strong experience in prompt engineering to optimize AI models performance.
+
+Technical Skills:
+Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
+Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
+Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
+Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
+Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
+Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).
+
+Soft Skills:
+Strong problem-solving and analytical skills.
+Excellent communication and teamwork abilities to collaborate with stakeholders.
+Ability to work independently and drive projects to completion with minimal supervision.
+Preferred Qualifications
+
+Experience in deploying AI models at scale in production environments.
+Expertise in large-scale data processing, optimization techniques, and model deployment.
+
+If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/15.txt b/job-postings/23-03-2025/15.txt
new file mode 100644
index 0000000000000000000000000000000000000000..214509414e216f1c32aeb82cf62fedb75f19df3d
--- /dev/null
+++ b/job-postings/23-03-2025/15.txt
@@ -0,0 +1,23 @@
+Come join the #1 intellectual property firm in the country as a patent prosecution associate in any of our U.S. offices. At Fish, we promote a creative, respectful and inclusive culture that values the diversity of people and allows ingenuity to thrive. You will work on cutting edge technologies for top-tier clients, working with legal practitioners who are leaders in our field. Through your combination of technical expertise and legal know-how, you will become a strategic advisor to clients who are among the world's greatest innovators. You will be a respected teammate, joining an elite group of attorneys solving intellectual property issues for the world's leading companies.
+
+If you have a passion for science, engineering and intellectual property, we want to hear from you. 
+
+Who You Are
+
+You have a strong background in either Electrical Engineering or Computer Science and extensive Machine Learning Experience. 
+You have 4 plus years of patent prosecution experience. 
+You have an active membership in the state bar and compliance with CLE requirements. 
+You are registered before the U.S. Patent and Trademark Office. 
+You have superior writing skills and excellent academic credentials. 
+You thrive when using your analytical skills to conduct complex and detailed analysis of legal matters. 
+You enjoy communicating with a diverse group of clients, attorneys, and staff. 
+You are enthusiastic about working within a team-oriented environment and will contribute to effective team relationships. 
+
+The salary for this position is $310,000 - $390,000. The salary offered will depend upon qualifications and experience, and will be adjusted for flex-time schedules.
+
+Why Fish
+
+A flexible hybrid work environment. 
+Annual Technology Allowance. 
+A family-friendly atmosphere with back-up childcare, as well as health and wellness initiatives. 
+Competitive pay with a rich benefits package, including comprehensive medical, vision, and dental coverage.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/16.txt b/job-postings/23-03-2025/16.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8d8057ee3d9fb3011319e74be5ffefca8783027f
--- /dev/null
+++ b/job-postings/23-03-2025/16.txt
@@ -0,0 +1,39 @@
+Description
+
+Do you want to join an innovative team of scientists who use deep learning, natural language processing, large language models to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support and provide the best customer and seller experience by automatically mitigating risk?
+
+Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience?
+
+Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and simplify processes?
+
+If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group.
+
+Key job responsibilities
+
+The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale when they are determined to be of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring.
+
+Basic Qualifications
+
+4+ years of applied research experience
+3+ years of building machine learning models for business application experience
+PhD, or Master's degree and 6+ years of applied research experience
+Experience programming in Java, C++, Python or related language
+Experience with neural deep learning methods and machine learning
+
+Preferred Qualifications
+
+Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
+Experience with large scale distributed systems such as Hadoop, Spark etc.
+
+Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
+
+Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
+
+Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
+
+Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
+
+
+Company - Amazon.com Services LLC
+
+Job ID: A2791256
\ No newline at end of file
diff --git a/job-postings/23-03-2025/17.txt b/job-postings/23-03-2025/17.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7fccdaaac44ab2f0a82a267fa649cb67712fd4e9
--- /dev/null
+++ b/job-postings/23-03-2025/17.txt
@@ -0,0 +1,57 @@
+Description
+
+Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizing large-scale computing infrastructure that powers our cutting-edge AI and machine learning initiatives. We leverage advanced hardware, innovative software architectures, and distributed computing techniques to enable breakthrough research and product development across the company.
+
+We are seeking a Senior Machine Learning Engineer to join our team and lead the development of our next-generation ML training infrastructure. This is a high impact, high visibility role that will shape the future of our machine learning capabilities and contribute to the advancement of AI technology across the industry.
+
+Key job responsibilities
+
+Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across our ML infrastructure.
+
+Align the teams in ML Infrastructure and related organizations to a coherent technical vision and deliver systems that fit well together.
+Exert influence over multiple teams, increasing their productivity and effectiveness. You hold peers and teams to a high bar for performance and efficiency, and aid teams through your expert guidance and example.
+Considered to be an authority on technical issues by both the technical and research community, you are responsible for guiding difficult trade-off decisions and drive awareness about the impact and consequences of technical decisions on AI research and product development.
+Demonstrate significant innovation, creativity, and judgement when solving challenging AI/ML infrastructure problems. Identify future skills needed across your organization and advocate for the development and/or acquisition of those skills to senior leaders. You scout top talent and recruit them to the company.
+Actively mentor senior and Principal engineers, scale yourself by developing and institutionalizing best practices in AI/ML infrastructure and distributed computing across the organization.
+
+A day in the life
+
+8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure
+
+8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust
+Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc
+Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up
+Knowledge of emerging AI hardware accelerators and architectures
+Experience with containerization and orchestration technologies (Docker, Kubernetes)
+Experience with cloud computing platforms (AWS, Azure, GCP) and their offerings
+
+About The Team
+
+Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.
+
+Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.
+
+Basic Qualifications
+
+5+ years of non-internship professional software development experience
+5+ years of programming with at least one software programming language experience
+5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
+Experience as a mentor, tech lead or leading an engineering team
+
+Preferred Qualifications
+
+5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
+Bachelor's degree in computer science or equivalent
+
+Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
+
+Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
+
+Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
+
+Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
+
+
+Company - Amazon.com Services LLC - A57
+
+Job ID: A2782263
\ No newline at end of file
diff --git a/job-postings/23-03-2025/18.txt b/job-postings/23-03-2025/18.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d9924327879d42353e14a0e3feccb05e1acef94c
--- /dev/null
+++ b/job-postings/23-03-2025/18.txt
@@ -0,0 +1,27 @@
+We are a well-funded biotech startup that has developed a proprietary single cell platform that resolves a bottleneck for immunotherapy. We are currently looking for a machine learning scientist with experience in Immuno-oncology to join our interdisciplinary team. The candidate is expected to adapt quickly and communicate well, especially in a fast-paced startup environment. He/she will collaborate with other team members and be part of an exciting journey. We pay competitive salaries with bonus and equity, plus full benefits that include medical, dental, vision, 401k match, commuter benefits and daily lunch.
+
+Responsibilities
+
+Develop and apply machine learning-based models to study TCR-pMHC interactions. 
+Apply protein structure modeling and machine learning techniques to develop novel computational solutions. 
+Collaborate with experimental team to validate model predictions. 
+
+Skills And Qualifications
+
+Doctoral (PhD) degree in computational biology, bioengineering, computer science, applied physics and mathematics, or an equivalent field. 
+Expert in machine learning-based protein design/engineering. 
+Strong background in protein modeling and structure biology. 
+Expert in machine learning frameworks and programming languages. 
+Experience in building computational models to predict TCR-pMHC interactions preferred. 
+
+Compensation
+
+Compensation and Benefits:
+
+$120,000 - $160,000 (depending on the depth of expertise) + 10% performance bonus + equity. 
+
+Benefits
+
+4% Salary 401K match; Daily lunches; Commuter Benefits; Unlimited snacks and drinks. 
+Medical, Dental, Vision; 100% Premium Covered. 
+Disability Insurance, Life Insurance; Workplace Insurance
\ No newline at end of file
diff --git a/job-postings/23-03-2025/19.txt b/job-postings/23-03-2025/19.txt
new file mode 100644
index 0000000000000000000000000000000000000000..773fdbc86c9f9745d346fb407f407dd62be5dbed
--- /dev/null
+++ b/job-postings/23-03-2025/19.txt
@@ -0,0 +1,27 @@
+About
+
+Über die DOUGLAS Group
+
+Die DOUGLAS Group ist mit ihren Marken DOUGLAS, NOCIBÉ, parfumdreams und Niche Beauty der führende Omnichannel-Anbieter für Premium-Beauty in Europa. Die DOUGLAS Group inspiriert ihre Kund*innen, ihre eigene Art von Schönheit zu leben, indem sie ein einzigartiges Sortiment online und in rund 1.900 Geschäften anbietet. Die DOUGLAS Group ist der Partner der Wahl für Brands und bietet ein ausgewähltes Sortiment exklusiver Marken sowie eigener Unternehmensmarken. Das Sortiment umfasst Düfte, Make-up, Hautpflege, Haarpflege, Accessoires sowie Beauty- Dienstleistungen. Die Stärkung der erfolgreichen Omnichannel-Positionierung und die konsequente Weiterentwicklung des Kund*innenerlebnisses stehen im Mittelpunkt der Unternehmensstrategie „Let it Bloom – DOUGLAS 2026″. Das erfolgreiche Geschäftsmodell stützt sich auf das Omnichannel- Angebot, die führenden Marken und die Datenkompetenz der DOUGLAS Group. Im Geschäftsjahr 2023/24 erwirtschaftete die DOUGLAS Group einen Umsatz von 4,45 Milliarden Euro und beschäftigte europaweit rund 19.200 Mitarbeiterinnen und Mitarbeiter. Die DOUGLAS Group wurde von Forbes 2025 als weltweit führender Arbeitgeber für Frauen im Bereich Einzel- und Großhandel ausgezeichnet. Die DOUGLAS Group (Douglas AG) ist an der Frankfurter Wertpapierbörse gelistet.
+
+Für weitere Informationen besuchen Sie bitte die Website der DOUGLAS Group.
+
+TITL1_DE
+
+Nice-to-have skills
+
+Python
+Big Data
+Python
+Machine Learning
+Düsseldorf, North Rhine-Westphalia, Germany
+
+Work experience
+
+Data Engineer
+Fullstack
+Machine Learning
+
+Languages
+
+German
\ No newline at end of file
diff --git a/job-postings/23-03-2025/2.txt b/job-postings/23-03-2025/2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..df392b2b23517e57f28a6f43d1dc39c4dc385cd2
--- /dev/null
+++ b/job-postings/23-03-2025/2.txt
@@ -0,0 +1,30 @@
+The Machine Learning Group within Brookhaven National Laboratory's Computational Science Initiative (CSI) invites exceptional candidates to apply for a Research Specialist position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially the large language models, and multi-modal Foundation Models; ML models for computer vision (CV) and natural language processing (NLP) related tasks; and techniques applied to the scientific discovery, i.e., AI for Science.
+
+This position provides access to world-class computing and data resources, such as Brookhaven Lab's Institutional Cluster and DOE leadership computing facilities. These platforms afford computing at scale, as well as access to unique data sources, ensuring the successful candidate will have the necessary tools to tackle challenging DOE problems of interest. In addition, the successful candidate will join a growing research group with diverse expertise and projects that span laboratory-level and nationally concerned DOE missions. This research staff position presents a distinct opportunity to conduct interdisciplinary collaborative research at Brookhaven Lab.
+
+Essential Duties And Responsibilities
+
+Developing novel machine learning algorithms and conduct computational experiments.
+Disseminating research findings in publications, posters, project reports, and presentations.
+Effectively communicate with supervisor and team members.
+Independently develop solutions and ideas.
+
+Required Knowledge, Skills, And Abilities
+
+Bachelor's degree with five (5+) years or a Master's degree with three (3+) years or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics).
+Solid programming skills and computer science knowledge.
+Familiar with deep learning libraries.
+Research experience and good publication track record in machine learning field.
+Proficient written and verbal communication skills.
+
+Preferred Knowledge, Skills, And Abilities
+
+Engineering or research experience with programming deep learning models.
+Experience with state-of-the-art foundation models and large vision-language models.
+Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization.
+Experience working as part of multidisciplinary scientific collaborations.
+Familiar with Linux, Bash, Git, Docker, and/or other software development tools.
+
+Compensation
+
+Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $93800 - $155650 / year. Salary offers will be commensurate with your experience. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group
\ No newline at end of file
diff --git a/job-postings/23-03-2025/20.txt b/job-postings/23-03-2025/20.txt
new file mode 100644
index 0000000000000000000000000000000000000000..400a1f2dfc6eb63551539da477a79e595cab56a4
--- /dev/null
+++ b/job-postings/23-03-2025/20.txt
@@ -0,0 +1,45 @@
+Description
+
+The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior SDE with a strong machine learning background, to lead the development of industry-leading models with multimodal systems.
+
+As a Senior SDE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.
+
+The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.
+
+Key job responsibilities
+
+Responsible for pre-training multimodal LLMs
+Work closely with Applied scientists to scale pre-training of machine learning models on GPUs while optimizing the training workflows using highly distributed training techniques and frameworks (Like FSDP, NVIDIA NeMo, Megatron Core etc)
+Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
+Will work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
+
+About The Team
+
+AGI Foundations team is responsible for building industry leading generative AI models.
+
+Basic Qualifications
+
+5+ years of non-internship professional software development experience
+5+ years of programming with at least one software programming language experience
+5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
+Experience as a mentor, tech lead or leading an engineering team
+2+ years of expertise in Machine Learning and model training
+
+Preferred Qualifications
+
+5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
+Bachelor's degree in computer science or equivalent
+Expertise in training Generative AI vision models
+
+Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
+
+Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
+
+Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
+
+Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
+
+
+Company - Amazon.com Services LLC
+
+Job ID: A2894216
\ No newline at end of file
diff --git a/job-postings/23-03-2025/21.txt b/job-postings/23-03-2025/21.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c448807bba3e06f93641e5174081fe3a57accb15
--- /dev/null
+++ b/job-postings/23-03-2025/21.txt
@@ -0,0 +1,89 @@
+Responsibilities
+
+Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
+
+Why Join Us
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
+
+To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
+
+Join us."
+
+About The Team
+
+Founded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social progress.
+
+With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It boasts a robust international presence with labs and research facilities in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market.
+
+Responsibility
+
+Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world.
+
+The Main Work Directions Include
+
+Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system.
+Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration.
+Responsible for the research and introduction of advanced technologies in machine learning systems, such as the latest hardware architecture, heterogeneous computing systems, and compiler-based optimization technologies.
+Working closely with the algorithm teams to optimize the algorithm and system jointly.
+
+Qualifications
+
+Minimum Qualifications:
+
+PhD graduate with a background in Computer Science, related technical field or equivalent industrial research experience
+Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
+
+Preferred Qualifications
+
+Prior experience in large-scale projects or papers with great influence in the field of large models.
+Familiar with at least one mainstream machine learning framework (TensorFlow/PyTorch/Jax).
+Experience in one of the following fields: CUDA, RDMA, AI Infrastructure, HW/SW Co-Design, High-Performance Computing (cutlass, NCCL), ML Hardware Architecture (GPU, Accelerators, Networking), ML for System, and Distributed Storage.
+Master the principles of distributed systems, and participated in the design, development, and maintenance of large-scale distributed systems.
+Demonstrated a related technical experience from previous internship, work experience, coding competitions, or publications
+Curiosity towards new technologies and entrepreneurship
+High levels of creativity and quick problem-solving capabilities
+
+ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (annually)
+
+The base salary range for this position in the selected city is $145000 - $250000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits
+
+Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
+
+We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
+
+Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
+
+We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $145000 - $250000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/22.txt b/job-postings/23-03-2025/22.txt
new file mode 100644
index 0000000000000000000000000000000000000000..049cdc9adccf66075ef669ca03a667fffc771926
--- /dev/null
+++ b/job-postings/23-03-2025/22.txt
@@ -0,0 +1,74 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+About The Team
+
+PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms.
+
+About The Role
+
+The Machine Learning Scientist will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems.
+
+Formulate end-to-end machine learning models by utilizing ML, NLP techniques to deal with real-world signals generated from privacy products/ incidents/ review areas.
+Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.
+Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.
+Communicate final recommendations and drive decision making.
+
+You will utilize data-driven techniques in building solutions to help measure, validate, identify, and envision TikTok's privacy evolution. You will design and scope out projects, build operationalized analytics tools and platforms, and most importantly, use data and AI models to find insights, diagnose problems and tell compelling stories.
+
+Besides the technical side, you will also get the opportunity to work closely with various XFN teams, including but not limited to engineering, legal, audit, security, public, government relations, and products. You will be expected to build deep domain knowledge and build a strong domain expertise in privacy.
+
+Qualifications
+
+Minimum Qualifications:
+
+Requires a Bachelor's degree in Finance, Mathematics, Statistics, Operations Research or other related field and two years of experience in the job offered or in a machine learning-related role.
+Solid background in NLP and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
+Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
+Experience with at least one programming language (i.e. Python, R, Java, or C++)
+Experience writing SQL queries
+Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
+
+Preferred Qualifications
+
+Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
+Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
+Experience with machine learning libraries and deep learning toolkits such as PyTorch, Caffe2, TensorFlow, Keras or Theano.
+Experience with Large Language Model is a plus.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $145000 - $250000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/23.txt b/job-postings/23-03-2025/23.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b3d180c4d144577b3788c4e6b79e6e5bd0a6ba4e
--- /dev/null
+++ b/job-postings/23-03-2025/23.txt
@@ -0,0 +1,63 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+TikTok Shop Ads team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong Machine Learning Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence.
+
+What You'll Do
+
+Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies.
+Connect with businesses directly to understand and develop solutions for their jobs-to-be-done.
+Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
+Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.
+
+Qualifications
+
+Minimum Qualifications:
+
+BS/MS degree in Computer Science or similar fields, with 5+ years of related industry experience.
+Solid programming skills, proficient in Python/Golang/Java/C/C++.
+Familiarity with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and its architecture and implementation mechanism.
+Familiarity with deep learning algorithms (CNN/RNN/LSTM, etc.).
+Team-player with strong communication skills who can also work independently.
+
+Preferred Qualifications
+
+Familiarity with main components for ads systems, including bidding, ranking, and auction.
+Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.com
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $177688 - $266000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/24.txt b/job-postings/23-03-2025/24.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cc6de52df1a302e17e956a1eadc74d01d7c9490b
--- /dev/null
+++ b/job-postings/23-03-2025/24.txt
@@ -0,0 +1,64 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+About The Team
+
+Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.
+
+What You Will Be Doing
+
+Participate in the research and optimization of large-scale machine learning online prediction frameworks, supporting the efficient model recommendation of TikTok's products;
+Involve in processing large-scale feature samples, including data flow conversion, model training, and parameter tuning, addressing related issues through research and breakthroughs;
+Collaborate closely with algorithm teams to analyze and solve above challenges, and assist with practical business needs.
+
+Qualifications
+
+Minimum Qualifications:
+
+Bachelor's degree or above, majoring in Computer Science or related fields, with experience building scalable system;
+Proficient in C/C++ programming in a Linux environment;
+Familiar with operating system concepts and computer architecture;
+Understand the underlying framework of mainstream machine learning frameworks (TensorFlow, PyTorch etc);
+Background in one of the following fields: High Performance Computing, Applied ML models(MLP/Transformer/MoE), ML Hardware Acceleration (e.g., GPU/RDMA) or ML Systems.
+
+Preferred Qualifications
+
+Experience in deep learning model training and prediction;
+Experience in algorithm implementation or optimization of existing algorithms;
+Familiar with model pruning, quantization and compression methods;
+Experience in software and hardware integration and optimizations.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $194000 - $355000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/25.txt b/job-postings/23-03-2025/25.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ecd0b13fb574129148c80bc9b097819079a7c4ca
--- /dev/null
+++ b/job-postings/23-03-2025/25.txt
@@ -0,0 +1,48 @@
+Description
+
+The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(Sr. SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our Sr. SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!
+
+Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!
+
+So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLE
+
+Key job responsibilities
+
+Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
+Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
+Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
+Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.
+
+A day in the life
+
+As a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.
+
+About The Team
+
+Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.
+
+Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.
+
+Basic Qualifications
+
+3+ years of non-internship professional software development experience
+2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
+Experience programming with at least one software programming language
+
+Preferred Qualifications
+
+3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
+Bachelor's degree in computer science or equivalent
+
+Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
+
+Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
+
+Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
+
+Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
+
+
+Company - Amazon.com Services LLC
+
+Job ID: A2870545
\ No newline at end of file
diff --git a/job-postings/23-03-2025/26.txt b/job-postings/23-03-2025/26.txt
new file mode 100644
index 0000000000000000000000000000000000000000..912487f73fd6246731344dd0bd9b2e39573f8408
--- /dev/null
+++ b/job-postings/23-03-2025/26.txt
@@ -0,0 +1,81 @@
+Responsibilities
+
+Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.
+
+With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.
+
+Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.
+
+Why Join Us
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
+
+To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
+
+Join us.
+
+Team Introduction
+
+The AML Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.
+
+We are looking for talented individuals to join us for an internship in 2025. Internships at Bytedance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.
+
+Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025.
+
+Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Bytedance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
+
+Responsibilities
+
+Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring.
+Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC).
+Implement both general purpose training framework features and model specific optimizations (e.g. LLM, diffusions).
+Improve efficiency and stability for extremely large scale distributed training jobs.
+
+Qualifications
+
+Minimum Qualifications
+
+Currently in PhD program in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies.
+Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.
+Have basic understanding of how GPU and/or ASIC works.
+Expert in at least one or two programmingf languages in Linux environment: C/C++, CUDA, Python.
+Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
+
+Preferred Qualifications
+
+The following experiences will be a big plus:
+
+GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs).
+Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD.
+AI compiler stacks such as torch.fx, XLA and MLIR.
+Large scale data processing and parallel computing.
+Experiences in designing and operating large scale systems in cloud computing or machine learning.
+Experiences in in-depth CUDA programming and performance tuning (cutlass, triton).
+
+ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
+
+The hourly rate range for this position in the selected city is $57- $57.
+
+Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/27.txt b/job-postings/23-03-2025/27.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/27.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/28.txt b/job-postings/23-03-2025/28.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/28.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/29.txt b/job-postings/23-03-2025/29.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/29.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/3.txt b/job-postings/23-03-2025/3.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5495ea4f91ae67da79c1d934c62d4bbd02f93695
--- /dev/null
+++ b/job-postings/23-03-2025/3.txt
@@ -0,0 +1,42 @@
+Công việcỨng tuyểnGiới thiệu ứng viên
+
+Job Description
+
+Support multiple departments(operation, sales, finance, marketing, product...) to carry out key deliverables and achieve business objectives.
+Have the ability to consult stakeholders for decision-making by using the right data.
+Manage and deliver analytics projects including advanced statistics methods such as prediction, segmentation, and causal analysis from conception to completion with actionable insights and recommendations.
+Perform analyses to understand user/driver behaviors and find actionable insights for current and future data-focused innovation.
+Research/implement solutions for Dynamic Pricing, Credit Score, Risk Analytics, Fraud Detection... problems.
+Design, implement, and monitor A/B tests.
+
+Job requirement
+
+M.S. (B.S.) in Computer Science, Statistics, Math, Engineering, or related industry experience.
+Good communication and interpersonal skills, storytelling with data, e.g., ability to communicate data science concepts and analysis results to both technical and non-technical audiences
+Experience with one or more programming languages (e.g. = Python)
+Experience with statistical tools (e.g. R, Python) , analysis and advanced statistics as prediction, forecasting, and segmentation
+Experience in machine-learning packages (e.g. supervised and unsupervised learning )
+Good understanding of AB testing,
+Experience with big data: extraction, processing, filtering, and presenting large quantities (100K to Millions of rows) of data using cloud products as Big query, GCS/S3, Dataproc-Pyspark
+Nice to have experience with Computer Vision, NLP, Deep Learning.
+
+Why you'll love working here
+
+At Ahamove, we are always driven by data and recognize it as a fuel for innovation. We collect, analyse and integrate data into every corner of the enterprise.
+
+The data team is the backbone of our company. Just like the “on-demand delivery” segment, our data team provides "on-demand technologies" to serve our fast-changing business needs and evolving market. Our data team has the power to try many up-to-date solutions, tools and technologies such as Cloud Services, Big Data Distributed System, Machine Learning Model...
+
+Currently, we have created different data positions to solve a variety of problems which are fun, challenging and meaningful. We welcome young talents with fresh minds to join us on our way to become a 5-star
+
+company.
+
+Let's grow together
+
+Benefit
+
+Grab/Be for work: 1M/month
+Laptop & PVI insurance
+Competitive salaries and benefits according to experience and education level
+And more
+
+Ứng tuyển ngay
\ No newline at end of file
diff --git a/job-postings/23-03-2025/30.txt b/job-postings/23-03-2025/30.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7017ba2a0004ac81f510c382029d3282cf3051a8
--- /dev/null
+++ b/job-postings/23-03-2025/30.txt
@@ -0,0 +1,43 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+ML Engineer Tysons Corner, VA
+
+This Jobot Job is hosted by Charles Simmons
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $150,000 - $200,000 per year
+
+A Bit About Us
+
+Our client is a well-funded deep tech company headquartered in Northern Virginia, building a suite of autonomous software reliability and testing products. Their team is collaborative, highly technical, and customer focused. They prioritize the long-term in our structure, our products, and our relationships.
+
+Their team is in the office daily, which helps us tackle the difficult challenges we're working on, together. They are building something ambitious and valuable, and having fun doing it! Take a look at the positions below and reach out if you're interested.
+
+
+
+Why join us?
+
+
+Our client is looking for senior engineers to join our effort to build our autonomous testing product. As a Lead ML Engineer, you will work with a small, focused team on open-ended and novel applications of unsupervised representation learning. As part of Antithesis’s mission to revolutionize autonomous software testing, you will push the boundaries on fundamental questions of software exploration and guided fuzzing.
+
+They are doing things nobody has done before, so they don't require expertise with any specific language or framework, etc. Mainly we care that you're smart, get things done, a joy to work with, and are comfortable dealing with open-ended/poorly-defined problems.
+
+Job Details
+
+3+ years of Python experience
+2+ years of PyTorch or a similar framework
+Cloud Experience
+BS or MS or PHd in CS, Mathematics, Physics or similar
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/31.txt b/job-postings/23-03-2025/31.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/31.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/32.txt b/job-postings/23-03-2025/32.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/32.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/33.txt b/job-postings/23-03-2025/33.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/33.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/34.txt b/job-postings/23-03-2025/34.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/34.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/35.txt b/job-postings/23-03-2025/35.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/35.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/36.txt b/job-postings/23-03-2025/36.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/36.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/37.txt b/job-postings/23-03-2025/37.txt
new file mode 100644
index 0000000000000000000000000000000000000000..61fd056c5494feb45cd1ec6e760e4d90de30766e
--- /dev/null
+++ b/job-postings/23-03-2025/37.txt
@@ -0,0 +1,69 @@
+Want to learn more about this role and Jobot Consulting? Click our Jobot Consulting logo and follow our LinkedIn page!
+
+Job details
+
+This Jobot Consulting Job is hosted by Ashley Elm
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $75 - $94 per hour
+
+A Bit About Us
+
+Leading west coast based healthcare system is looking to add a remote Machine Learning Engineering consultant to their team.
+
+Apply today to learn more about this 12+ month consulting role opportunity.
+
+To be considered, candidates must reside in PST, MTN, or CST time zones.
+
+Please note you must have EHR and Healthcare setting experience to be considered.
+
+
+
+Why join us?
+
+
+12+ Month REMOTE Contract role with options to extend
+
+PST Hours
+
+Job Details
+
+Requirements
+
+3 or more years relevant Machine Learning Engineer Experience
+Bachelor’s Degree computer science, artificial intelligence, informatics or closely related field, Masters preferred
+Healthcare Expertise Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
+Certification(s) in Machine Learning a plus
+Experience in managing end-to-end ML lifecycle.
+Experience in managing automation with Terraform.
+Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
+CI/CD tools (e.g., Github Actions).
+Programming languages and frameworks (e.g., Python, R, SQL).
+Deep understanding of coding, architecture, and deployment processes.
+Strong understanding of critical performance metrics.
+Extensive experience in predictive modeling, LLMs, and NLP.
+Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs
+
+Job Description
+
+Production Deployment and Model Engineering Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
+Scalable ML Infrastructures Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
+Engineering Leadership Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
+AI Pipeline Development Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
+Collaboration Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
+Continuous Integration/Continuous Deployment (CI/CD) Pipelines Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
+Monitoring and Logging Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
+Version Control Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
+Security and Compliance Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
+Documentation Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot Consulting?
+
+Click our Jobot Consulting logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/38.txt b/job-postings/23-03-2025/38.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/38.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/39.txt b/job-postings/23-03-2025/39.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/39.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/4.txt b/job-postings/23-03-2025/4.txt
new file mode 100644
index 0000000000000000000000000000000000000000..21abd5f8791ceb9d29015add65cefdf94e909c36
--- /dev/null
+++ b/job-postings/23-03-2025/4.txt
@@ -0,0 +1,18 @@
+A Share People Hub, em parceria com um centro de pesquisa e inovação, buscam por Pessoa Desenvolvedora de Software Sênior (Deep Learning e Machine Learning) para atuação no modelo híbrido em Campinas / SP.
+
+DESAFIOS DA POSIÇÃO | PRINCIPAIS RESPONSABILIDADES:
+
+Pesquisar, projetar, implementar e manter soluções de Processamento de Fala, mais especificamente em Keyword Spotting (KWS), utilizando técnicas state-of-the-art;
+Auxiliar no desenvolvimento técnico dos membros da equipe;
+Participar na definição e na melhoria de produtos, projetos e processos.
+Que Essa Pessoa Precisa Ter
+Graduação completa em Ciência da Computação, Engenharia da Computação, Engenharia Elétrica ou área correlatas;
+Sólido background em desenvolvimento ou pesquisa em Machine Learning / Deep Learning;
+Processamento de Sinais;
+Experiência em técnicas de Processamento de Fala utilizando redes neurais;
+Experiência em Linux, Python e Git;
+Experiência em Frameworks como Pythorch, TensorFlow e TFLite;
+Inglês Avançado
+Que Será Um Diferencial
+Experiência em otimização de modelos de ML embarcados
+Experiência em técnicas de Few Shot Learning
\ No newline at end of file
diff --git a/job-postings/23-03-2025/40.txt b/job-postings/23-03-2025/40.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/40.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/41.txt b/job-postings/23-03-2025/41.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/41.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/42.txt b/job-postings/23-03-2025/42.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/42.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/43.txt b/job-postings/23-03-2025/43.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/43.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/44.txt b/job-postings/23-03-2025/44.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/44.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/45.txt b/job-postings/23-03-2025/45.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/45.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/46.txt b/job-postings/23-03-2025/46.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/46.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/47.txt b/job-postings/23-03-2025/47.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/47.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/48.txt b/job-postings/23-03-2025/48.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/48.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/49.txt b/job-postings/23-03-2025/49.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/49.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/5.txt b/job-postings/23-03-2025/5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..23c23ab638c2313738aa46b1e30bf4c75b743004
--- /dev/null
+++ b/job-postings/23-03-2025/5.txt
@@ -0,0 +1,39 @@
+🚀Ready to Dive into the Future of Technology?🚀
+
+Join our team and become a key player in shaping the future of Machine Learning, Deep Learning, and cutting-edge data science. We’re looking for a passionate and curious intern who’s ready to roll up their sleeves, learn, and make an impact. If you’re excited about solving complex problems, building cool ML/AI solutions, and getting hands-on with real-world data, this is the opportunity for you!
+
+What You'll Be Doing
+
+🎯 Algorithm Mastermind: Research, design, and implement cool ML, DL, and statistical models to solve problems that matter.
+
+📊 Time Series Magic: Work on innovative projects analyzing time series process data — your chance to bring data to life!
+
+🔧 Pipeline Pro: Tinker with and improve existing ML/DL data pipelines to make them faster, smarter, and more efficient.
+
+💡 Collaborative Innovator: Team up with our Data Engineering squad to build AI solutions that meet client needs — teamwork makes the dream work!
+
+📝 Documentation Rockstar: Document your breakthroughs, architecture designs, and lessons learned, making sure we all grow together.
+
+🌟 Feedback Guru: Collaborate with stakeholders and project teams, giving and receiving feedback to help fine-tune products and performance.
+
+What We’re Looking For
+
+Skills & Experience:
+
+ML/DL Wizardry: Experience building systems using machine learning and deep learning methods.
+Python Pro: Strong hands-on experience with Python (we know you love it as much as we do!).
+Data Enthusiast: Solid experience with pandas, NumPy, Matplotlib, and scikit-learn — your toolkit for working magic on data!
+Deep Learning Know-How: Practical experience with frameworks like TensorFlow and PyTorch.
+Time Series Expert: Comfortable with state-of-the-art ML/DL models specifically for time series data.
+Database Savvy: Experience working with SQL and NoSQL databases — because data needs a home.
+Cloud Explorer: Familiar with cloud environments (bonus points if you’ve worked with Azure!).
+Team Player: You’re a self-starter who thrives in a collaborative, fast-paced, results-driven environment.
+
+Eligibility Requirements
+
+Degree: You’ve got a degree (or are on track to get one) in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on Deep Learning, Machine Learning, or Data Engineering.
+Availability: Ready to jump in a full-time internship? Your adventure starts here! Specific start dates will be shared during the recruiting process.
+
+Ready to Make an Impact?
+
+If you’re passionate about ML, love working with data, and want to dive into an internship that will challenge and excite you, we’d love to hear from you!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/50.txt b/job-postings/23-03-2025/50.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/50.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/51.txt b/job-postings/23-03-2025/51.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/51.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/52.txt b/job-postings/23-03-2025/52.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/52.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/53.txt b/job-postings/23-03-2025/53.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/53.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/54.txt b/job-postings/23-03-2025/54.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/54.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/55.txt b/job-postings/23-03-2025/55.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/55.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/56.txt b/job-postings/23-03-2025/56.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/56.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/57.txt b/job-postings/23-03-2025/57.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/57.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/58.txt b/job-postings/23-03-2025/58.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/58.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/59.txt b/job-postings/23-03-2025/59.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/59.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/6.txt b/job-postings/23-03-2025/6.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2d5c2ce5b1804c55395db763d5647e312c09f4f1
--- /dev/null
+++ b/job-postings/23-03-2025/6.txt
@@ -0,0 +1,37 @@
+Why Octopus Digital?
+
+Octopus Digital is leading the charge in Industry 4.0 across Pakistan and the Middle East, revolutionizing industries with smart factory solutions, AI, big data, and IoT. Our cloud-native, AI-powered platforms deliver actionable insights, making complex data accessible for all professionals. We help businesses digitize manufacturing, supply chain, and financial processes, offering 24/7 support and business intelligence through flexible subscription services. With a global presence and a focus on continuous innovation, we empower companies to thrive in the digital age and stay ahead of the competition. Let us help you unlock the future of your business.
+
+Job Overview
+
+Ready to make an impact with Machine Learning? We’re looking for a Machine Learning Engineer to join our team! You'll develop cutting-edge ML models, collaborate with Data Engineering to build efficient ETL architectures, and guide stakeholders through powerful data insights. If you're passionate about ML, love taking the lead, and enjoy learning on the go, this is the perfect role for you! 🚀🤖
+
+Responsibilities
+
+Take the lead in customer data meetings and suggest innovative ways to improve data insights. 💬📈
+Collaborate with the Data Engineering Team to create powerful ETL architecture. 🔄💡
+Research and develop ML models to solve unique customer challenges and enhance datasets. 🔍📊
+Build ML models from the ground up and help product managers and stakeholders truly understand their power and results. 💥🤓
+Deploy models and interfaces that deliver real value to external customers. 🌍💻
+Be a mentor! Train data teams and analysts on ML modeling capabilities and how to drive value through data-driven KPIs for various industries. 🎓💪
+
+Skills & Experience
+
+1-2 years of hands-on programming experience, particularly with enterprise products. 🖥️
+Mastery of multiple programming languages and a strong foundation in statistical platforms like Python, R, or MatLab. 🐍📊
+Experience in building robust datasets and creating ML models that make a real difference. 🔧📉
+Quick learner who takes initiative, loves leading the charge, and thrives in the world of data! 🚀
+
+💡 What’s in It for You?
+
+🌟 Competitive Compensation – We value your expertise and reward it accordingly.
+
+🩺 Comprehensive Health & Life Insurance – Your well-being is our priority.
+
+🚗 Travel Support – Making your commute smoother and stress-free.
+
+📈 Exciting Career Growth – Work on game-changing projects in a rapidly expanding company.
+
+🤝 Collaborative & Innovative Culture – Be part of a highly skilled team that values creativity and problem-solving.
+
+If you're ready to shape the future with your ML expertise, and have fun while doing it, we'd love to have you on board! 😎👩💻
\ No newline at end of file
diff --git a/job-postings/23-03-2025/60.txt b/job-postings/23-03-2025/60.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/60.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/61.txt b/job-postings/23-03-2025/61.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/61.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/62.txt b/job-postings/23-03-2025/62.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/62.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/63.txt b/job-postings/23-03-2025/63.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/63.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/64.txt b/job-postings/23-03-2025/64.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/64.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/65.txt b/job-postings/23-03-2025/65.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/65.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/66.txt b/job-postings/23-03-2025/66.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/66.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/67.txt b/job-postings/23-03-2025/67.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/67.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/68.txt b/job-postings/23-03-2025/68.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/68.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/69.txt b/job-postings/23-03-2025/69.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/69.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/7.txt b/job-postings/23-03-2025/7.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d20aea5e70291f0f377a498450ec6be4629990c
--- /dev/null
+++ b/job-postings/23-03-2025/7.txt
@@ -0,0 +1,39 @@
+Why Octopus Digital?
+
+Octopus Digital is leading the charge in Industry 4.0 across Pakistan and the Middle East, revolutionizing industries with smart factory solutions, AI, big data, and IoT. Our cloud-native, AI-powered platforms deliver actionable insights, making complex data accessible for all professionals. We help businesses digitize manufacturing, supply chain, and financial processes, offering 24/7 support and business intelligence through flexible subscription services. With a global presence and a focus on continuous innovation, we empower companies to thrive in the digital age and stay ahead of the competition. Let us help you unlock the future of your business.
+
+Job Overview
+
+Ready to make an impact with Machine Learning? We’re looking for a Machine Learning Lead to join our team! You'll develop cutting-edge ML models, collaborate with Data Engineering to build efficient ETL architectures, and guide stakeholders through powerful data insights. If you're passionate about ML, love taking the lead, and enjoy learning on the go, this is the perfect role for you! 🚀🤖
+
+Responsibilities
+
+Take the lead in customer data meetings and suggest innovative ways to improve data insights. 💬📈
+Collaborate with the Data Engineering Team to create powerful ETL architecture. 🔄💡
+Research and develop ML models to solve unique customer challenges and enhance datasets. 🔍📊
+Build ML models from the ground up and help product managers and stakeholders truly understand their power and results. 💥🤓
+Deploy models and interfaces that deliver real value to external customers. 🌍💻
+Be a mentor! Train data teams and analysts on ML modeling capabilities and how to drive value through data-driven KPIs for various industries. 🎓💪
+
+Skills & Experience
+
+2-3 years of hands-on programming experience, particularly with enterprise products. 🖥️
+Mastery of multiple programming languages and a strong foundation in statistical platforms like Python, R, or MatLab, SQL & Azure Data Tools. 🐍📊
+Experience in building datasets and ML models.
+Quick learner who takes initiative, loves leading the charge, and thrives in the world of data! 🚀
+Experience in Numpy, Pandas, sickit-learn, Seaborn. 📉
+Experience in Jupyter, Colab & Vs Code. 🔧
+
+💡 What’s in It for You?
+
+🌟 Competitive Compensation – We value your expertise and reward it accordingly.
+
+🩺 Comprehensive Health & Life Insurance – Your well-being is our priority.
+
+🚗 Travel Support – Making your commute smoother and stress-free.
+
+📈 Exciting Career Growth – Work on game-changing projects in a rapidly expanding company.
+
+🤝 Collaborative & Innovative Culture – Be part of a highly skilled team that values creativity and problem-solving.
+
+If you're ready to shape the future with your ML expertise, and have fun while doing it, we'd love to have you on board! 😎👩💻
\ No newline at end of file
diff --git a/job-postings/23-03-2025/70.txt b/job-postings/23-03-2025/70.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/70.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/71.txt b/job-postings/23-03-2025/71.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/71.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/72.txt b/job-postings/23-03-2025/72.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/72.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/73.txt b/job-postings/23-03-2025/73.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/73.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/74.txt b/job-postings/23-03-2025/74.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/74.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/75.txt b/job-postings/23-03-2025/75.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/75.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/76.txt b/job-postings/23-03-2025/76.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/76.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/77.txt b/job-postings/23-03-2025/77.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/77.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/78.txt b/job-postings/23-03-2025/78.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/78.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/79.txt b/job-postings/23-03-2025/79.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d24c8639405986a6b6283c8631d6bd2ba009111b
--- /dev/null
+++ b/job-postings/23-03-2025/79.txt
@@ -0,0 +1,60 @@
+Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
+
+Job details
+
+Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!
+
+This Jobot Job is hosted by Grant Greenhalgh
+
+Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
+
+Salary $180,000 - $225,000 per year
+
+A Bit About Us
+
+Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.
+
+
+
+Why join us?
+
+
+Fully Remote
+Complex Technical Challenges
+Meaningful equity
+Unlimited PTO
+WFH Stipend
+Competitive Compensation
+
+Job Details
+
+We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.
+
+Responsibilities
+
+Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
+Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
+Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
+Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
+Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
+Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
+Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality
+
+Qualifications
+
+5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
+Proven expertise in working with Generative AI (GAI)
+Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
+Strong experience with modern version control systems (e.g., GitHub).
+Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
+Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
+
+Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
+
+Want to learn more about this role and Jobot?
+
+Click our Jobot logo and follow our LinkedIn page!
\ No newline at end of file
diff --git a/job-postings/23-03-2025/8.txt b/job-postings/23-03-2025/8.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a4ec6ad0fce9727619aaaf893e2e4b92bac1e225
--- /dev/null
+++ b/job-postings/23-03-2025/8.txt
@@ -0,0 +1,50 @@
+About MarketEngine.ai
+MarketEngine.ai is a Silicon-Valley company revolutionizing marketing demand generation for startups and SMBs. Our cutting-edge platform integrates all marketing functions into one seamless solution, empowering entrepreneurs, marketers and sales executives to generate the marketing-qualified leads ten times faster and at 75% lower cost compared to traditional marketing agencies. Led by Silicon Valley leaders, experts in Marketing, Software and AI/ML, we’re on a mission to help startups and SMBs not just survive, but thrive.
+
+Role Overview
+We're looking for a passionate and experienced AIML Engineering Lead to join our Pune team and spearhead the development of production-grade LLM-based agentic platform. In this role, you'll be instrumental in designing scalable infrastructure for our LLM systems and developing robust frameworks for prompt management. As a key team member, you'll have significant influence on our system architecture and technical direction.
+
+Key Responsibilities
+Architect and implement production-grade LLMOps pipelines
+Develop and maintain prompt engineering and evaluation systems
+Establish comprehensive monitoring and observability for ML system performance
+Drive continuous improvement in prompt accuracy using quantitative and qualitative feedback
+Lead system architecture decisions and guide technical strategy
+Implement efficient data processing and integration solutions
+Ensure code quality through rigorous testing, code reviews, and LLM best practices
+
+Required Qualifications
+B.Tech/B.E. in Computer Science, IT, or related field from a reputed institute
+5+ years of software development experience, with 2+ years in MLOps/LLMOps
+Proven experience implementing CI/CD, MLOps, or LLMOps pipelines
+Production-level expertise with Azure Cloud, AI, ML, and Data Pipeline services
+Strong proficiency in Python and experience with FastAPI
+Solid understanding of ML algorithms and solutions
+Excellent problem-solving skills and ability to work independently
+Strong communication skills in English
+Willingness to work U.S. East Coast hours
+
+Desired Skills
+Advanced degree in Data Science, Machine Learning, or Computer Science
+Experience in productionizing GenerativeAI systems
+Expertise in optimizing ML-based systems
+Familiarity with Bicep, Terraform, or related infrastructure automation tools
+Advanced proficiency in Azure and Python
+
+Why Join MarketEngine.ai?
+- Be part of a high-growth Silicon-Valley startup revolutionizing SMB marketing technology. 
+- Collaborate with industry leaders in AI/ML and marketing experts. 
+- Competitive salary package (Best in industry)
+- Flexible work arrangements and a dynamic, intellectually stimulating environment
+- Opportunity to shape the future of demand generation technology for startups and SMBs
+Selection Process
+1. Resume shortlisting
+2. Technical round
+3. Problem-solving round focused on algorithms and system design
+4. Final interview with company leadership
+
+If you’re passionate about transforming Marketing Demand Generation for the startups and SMBs, send their updated CV to jobs@marketengine.ai with the subject line "Application forAIML Engineering Lead - [Your Name]".
+
+Note: Only shortlisted candidates will be contacted.
+
+MarketEngine.ai is an equal opportunity employer and values diversity in our workforce.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/80.txt b/job-postings/23-03-2025/80.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fd9add44c96f8c55694ac71d47402dfe5113b32e
--- /dev/null
+++ b/job-postings/23-03-2025/80.txt
@@ -0,0 +1,63 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+TikTok Shop Ads team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong Machine Learning Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence.
+
+What You'll Do
+
+Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies.
+Connect with businesses directly to understand and develop solutions for their jobs-to-be-done.
+Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
+Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.
+
+Qualifications
+
+Minimum Qualifications:
+
+BS/MS degree in Computer Science or similar fields, with 3+ years of related industry experience.
+Solid programming skills, proficient in Python/Golang/Java/C/C++.
+Familiarity with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and its architecture and implementation mechanism.
+Familiarity with deep learning algorithms (CNN/RNN/LSTM, etc.).
+Team-player with strong communication skills who can also work independently.
+
+Preferred Qualifications
+
+Familiarity with main components for Ads systems, including bidding, ranking, and auction.
+Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.com
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $129960 - $194750 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/81.txt b/job-postings/23-03-2025/81.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e3b12df5cdfbb2ffe77627533f649186b0d58d17
--- /dev/null
+++ b/job-postings/23-03-2025/81.txt
@@ -0,0 +1,37 @@
+Junior Data Scientist/Machine Learning Engineer 
+
+Location: Cologne, hybrid
+Contract: Permanent
+
+Are you interested in the next big challenge?
+Our client is a big (2k employees in all major cities in Germany) company with several digital products and services on the market that make easier daily life of their customers.
+You will find the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves.
+Now they are looking for a Junior Data Scientist/Machine Learning Engineer with a strong interest in building end-to-end solutions.
+
+
+Requirements:
+
+Good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics
+First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems
+Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow)
+Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products
+Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community
+Very good written and spoken German and English skills
+
+Responsibilities:
+
+You are significantly involved in setting up a data science department, automating related business processes and delivering individually tailored results to the customers
+You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptual design, data preparation, model training and evaluation, and subsequent preparation for go-live
+You manage your training experiments with modern MLOps frameworks such as MLFlow and help to take the product to the next level
+You integrate your models into the product both in terms of content and technology, using cloud technologies (AWS) for example and in close cooperation with the development team
+You keep yourself up to date with the latest developments in machine learning and think with your team about how you can use generative AI models such as Transformers or ChatGPT, for example
+You work in a cross-disciplinary team in direct cooperation with product managers, developers and business intelligence managers
+
+Benefits:
+
+Flexible working time model with four days per week in the office and one day flexibly from the office or from home.
+Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.
+Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc.
+Independent, agile work in small teams with a strong team spirit. Short decision-making processes.
+An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.
+And much more.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/82.txt b/job-postings/23-03-2025/82.txt
new file mode 100644
index 0000000000000000000000000000000000000000..99717f8dd8dabcfa80b4493197f087c3e04458ae
--- /dev/null
+++ b/job-postings/23-03-2025/82.txt
@@ -0,0 +1,90 @@
+Responsibilities
+
+Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
+
+Why Join Us
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
+
+To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
+
+Join us.
+
+The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate massively distributed machine learning training, inference systems and services to serve both the big model vendors and users around the world. You'll have the opportunity to build and enrich your expertise in coding, performance analysis and large system management, and get heavily involved in the process of hardware/capacity decision-making.
+
+In the engineering team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/RDMA/Storage and keep it running steady and reliable, enrich your expertise in coding, performance analysis and distributed system, be involved in the process of hardware/capacity decision-making.
+
+We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.
+
+Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance (select one) and its affiliates' jobs globally.
+
+Internships At ByteDance Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. It Runs For 12-24 Weeks And Begins In May/June 2025 Or August/September 2025. Successful Candidates Must Be Able To Commit To One Of The Following Start Dates Below:
+
+(Select below options for Summer)
+
+Monday, May 12
+Monday, May 19
+Tuesday May 27 (Memorial Day May 27)
+Monday, June 9
+Monday, June 23
+
+(Select below options for Fall)
+
+Monday, August 11
+Monday, August 25
+Monday, September 8
+Monday, September 22
+
+Please state your availability clearly in your resume (Start date, End date).
+
+Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally.
+
+Responsibilities:
+
+Building a next-generation big model as a service platform to serve hundreds of LLMs based applications;
+To develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration, etc.;
+To manage a huge number of GPU resources and provide computing power efficiently.
+
+Qualifications
+
+Minimum Qualifications:
+
+Currently pursuing a PhD in Computer Science or related technical field;
+Proficient in deep learning frameworks such as PyTorch or TensorFlow;
+Experience with software development in at least one of the following programming languages: C++, Python, Go;
+Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred;
+Strong software programming capabilities, exhibits good code design and coding style;
+Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
+
+Preferred Qualifications:
+
+Experience in NLP and LLM technologies;
+Experience or research in Alignment for Large language models;
+Experience in ModelOps, for example large model management, finetuning workflow management, etc.;
+Contribution to top-tier conference papers, including NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc. is a big plus.
+
+ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
+
+The hourly rate range for this position in the selected city is $75- $75.
+
+Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/83.txt b/job-postings/23-03-2025/83.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c956a812c89375f600fa5000751d7d824f9333e2
--- /dev/null
+++ b/job-postings/23-03-2025/83.txt
@@ -0,0 +1,75 @@
+Responsibilities
+
+Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
+
+Why Join Us
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
+
+To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
+
+Join us."
+
+About The Team
+
+Founded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social progress.
+
+With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It boasts a robust international presence with labs and research facilities in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market.
+
+Successful candidates must be able to commit to one of the following start dates below:
+
+January 15, 2024
+February 5, 2024
+March 4, 2024
+May 20, 2024
+June 10, 2024
+July 15, 2024
+August 12, 2024
+
+We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
+
+Applications will be reviewed on a rolling basis. We encourage you to apply early.
+
+Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally.
+
+Responsibilities:
+
+Develop or execute research to push forward the state of the art in LLM.
+Conduct experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
+Collaborate with a large and globally distributed team
+Contribute to publications and open-sourcing efforts.
+
+Qualifications
+
+PhD graduate with a background in NLP, experience in areas like LLM pretrain; interpretable LLM; LLM evaluation; responsible LLMs; LLM alignment are preferred.
+Candidates with influential open-source projects or publications at top-tier AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) are preferred.
+Strong sense of responsibility, good learning ability, communication ability, and self-motivation.
+Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
+
+ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at earlycareers.accommodations@bytedance.com.
+
+By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $136800 - $205000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/84.txt b/job-postings/23-03-2025/84.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2ee9727fd303710886d38d6a0166716befd424e5
--- /dev/null
+++ b/job-postings/23-03-2025/84.txt
@@ -0,0 +1,22 @@
+Wir gehören zu den Top-Adressen in der IT-Welt und fokussieren uns auf die Optimierung der Kerngeschäfts­prozesse unserer Kunden. Durch den smarten Einsatz maßgeschneiderter IT-Lösungen unterstützen wir unsere Kunden dabei, das Beste aus ihrem Business und aktuellen Technologien herauszuholen. Unseren Erfolg aber erreichen wir nur durch eins: die Menschen bei adesso! Sie bringen Ideen, fachliches Know how und Technologien zusammen. Gemeinsam programmieren wir (deine) Zukunft bei adesso.
+
+DEINE ROLLE
+
+Konzeption und Implementierung: Du konzipierst und implementierst innovative AI-Lösungen für unterschiedliche Branchen mit starkem Fokus auf Cloud-Infrastrukturen. 
+Optimierung und Automatisierung: Du unterstützt uns bei der Optimierung und Automatisierung bestehender AI-Lösungen und sorgst damit für eine kontinuierliche Verbesserung der AI-Produkte unserer Kunden. 
+ML-Modelle und Beratung: Du automatisierst Trainings- und Release-Prozesse von ML-Modellen und berätst unsere Kunden bei der Auswahl und Implementierung moderner AI-Plattformen und -Frameworks. 
+AI Use Cases und Geschäftsmodelle: Du unterstützt uns und unsere Kunden bei der Identifizierung und Umsetzung von innovativen AI Use Cases sowie bei der Entwicklung von neuen datengetriebenen Geschäftsmodellen. 
+Teamarbeit und Weiterentwicklung: Du arbeitest gerne gemeinsam im Team beständig an der Weiterentwicklung unserer AI-Lösungen und bist dabei technologisch stets auf dem neuesten Stand.
+
+DEIN PROFIL
+
+Akademischer Hintergrund: Erfolgreich abgeschlossenes Studium in der Fachrichtung Informatik, Wirtschaftsinformatik oder ein vergleichbares Studium mit relevantem Bezug
+Berufserfahrung: Mindestens zwei Jahre einschlägige Berufserfahrung mit ausgeprägtem ML-Hintergrund und Erfahrung in der Erstellung, Bereitstellung und Pflege von ML-Modellen in der Produktion
+Technische Fähigkeiten: Fortgeschrittene Kenntnisse in Python und den gängigen Machine Learning-Bibliotheken sowie Erfahrungen mit MLOps-Tools wie MLflow, KubeFlow o.ä.
+Zusatzkenntnisse: Von Vorteil sind Erfahrungen im Umgang mit großen Datenmengen sowie im Einsatz von Infrastructure as Code (Terraform, ARM). 
+Teamfähigkeit und Innovationsfreude: Spaß an der Arbeit in einem agilen Team, "Out of the box"-Denken und hohes Interesse daran, sich mit neuen Themen auseinanderzusetzen
+Sprachkenntnisse: Sehr gute Deutsch- und gute Englischkenntnisse 
+
+Unser Versprechen: Du wirst dich bei uns wohlfühlen! Kollegial, familiär und auf Augenhöhe – wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Diversität und verschiedene Blickwinkel werden bei uns genauso geschätzt wie du als Mensch. Das und viel mehr steht für unser ganz besonderes Wir-Gefühl. Für das es sogar ein Wort gibt: adessi.
+
+Unsere Kultur und das Zusammenarbeiten sind geprägt von gegenseitiger Wertschätzung, Anerkennung und Unterstützung. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So belegen wir zum wiederholten Mal den 1. Platz beim Wettbewerb „Deutschlands Beste Arbeitgeber in der ITK“!. Unser umfangreiches Trainingsangebot und ein transparentes Laufbahnstufenmodell für alle sorgen dafür, dass deine Entwicklung bei uns nicht stillsteht. Denn gemeinsam zu wachsen und Chancengeber zu sein, das ist programmiert in unserer DNA.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/85.txt b/job-postings/23-03-2025/85.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5c6cecdf64687da418237c1cd2b313a6cf3d16de
--- /dev/null
+++ b/job-postings/23-03-2025/85.txt
@@ -0,0 +1,65 @@
+Responsibilities
+
+Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
+
+Why Join Us
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
+
+To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
+
+Join us.
+
+What You'll Do
+
+The AML Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.
+
+Successful candidates must be able to commit to one of the following start dates below:
+
+January 15, 2024
+February 5, 2024
+March 4, 2024
+May 20, 2024
+June 10, 2024
+July 15, 2024
+August 12, 2024
+
+We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
+
+Applications will be reviewed on a rolling basis. We encourage you to apply early.
+
+Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally.
+
+Responsibilities
+
+Research and develop our machine learning systems, including heterogeneous computing architecture, management, and monitoring
+Deploy machine learning systems, distributed task scheduling, machine learning training
+Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)
+Implement both general purpose training framework features and model specific optimizations (e.g. LLM, diffusions)
+Improve efficiency and stability for extremely large scale distributed training jobs
+
+Qualifications
+
+Minimum Qualifications:
+
+Master or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;
+Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.
+Have basic understanding of how GPU and/or ASIC works;
+Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;
+The following experiences will be a big plus:
+GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);
+Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD
+AI compiler stacks such as torch.fx, XLA and MLIR;
+Large scale data processing and parallel computing;
+Experiences in designing and operating large scale systems in cloud computing or machine learning;
+Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)
+
+ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at earlycareers.accommodations@bytedance.com.
+
+By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/86.txt b/job-postings/23-03-2025/86.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d9026207d477b09f2201c91ed807c4700b6b6492
--- /dev/null
+++ b/job-postings/23-03-2025/86.txt
@@ -0,0 +1,72 @@
+Our Mission
+
+Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
+
+For more information, see our website at altoslabs.com.
+
+Our Value
+
+Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
+
+Diversity at Altos
+
+We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
+
+What You Will Contribute To Altos
+
+Altos Labs is seeking a Staff Machine Learning Engineer who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
+
+Responsibilities:
+
+Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc.
+Motivated to build, deploy, and manage systems to accelerate large-scale machine learning workflows in an integrated, usable framework
+Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively
+Demonstrated software engineering skills in developing reliable, scalable, performant systems in a cloud environment
+Champion maintainable, scalable, and reusable software engineering techniques and acts as an ambassador to promote effective tools and practices to the research community.
+Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.
+
+Who You Are
+
+Minimum Qualifications
+
+M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
+8+ years software development experience
+Extensive experience with large scale machine learning tools and infrastructure.
+Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics
+Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions.
+Proven track record of delivering high quality software.
+Skilled at working effectively with cross-functional teams, including research and engineering organizations.
+Excellent written and verbal communication skills.
+
+Preferred Qualifications
+
+Familiarity with biological data formats, concepts, and computational models is a plus
+
+The salary range for Redwood City, CA:
+
+Staff Machine Learning Engineer: $232,900 - $315,100
+
+The salary range for San Diego, CA:
+
+Staff Machine Learning Engineer: $221,000 - $299,000
+
+Exact compensation may vary based on skills, experience, and location.
+
+For UK applicants, before submitting your application:
+
+Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
+This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.
+
+What We Want You To Know
+
+We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.
+
+Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
+
+Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).
+
+Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
+
+Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
\ No newline at end of file
diff --git a/job-postings/23-03-2025/87.txt b/job-postings/23-03-2025/87.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d7c6f2f027d449967a3054217e418023da472467
--- /dev/null
+++ b/job-postings/23-03-2025/87.txt
@@ -0,0 +1,58 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join Us.
+
+We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.
+
+We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!
+
+Responsibilities:
+
+Develop automated creative generation across various modalities for advertising, including text, image, video, etc., explore and apply LLM/SD models for high-quality content creation;
+Develop next-generation conversational assistant on the top of LLMs to enhance user intention and context understanding and complex task completion capabilities;
+Be self-motivated to come up with new solutions that can improve chat experience, model outputs, and explore new products with generative AI at its core.
+
+Qualifications
+
+Qualifications
+
+Bachelor's degree or above, majoring in Computer Science or related fields.
+5+ years of relevant development experience and demonstrated knowledge of machine learning technology (RecSys/NLP/CV).
+Has experience in utilizing Generative AI technology in marketing texts, images and videos, familiar with LLMs and model finetuning (instruct tuning, SFT, RLHF, etc.)
+Passion for new technologies and proven capability in analysis and problem-solving.
+Good team player, communication skills and project management experience is preferred.
+Strong perseverance and courage to help the business to a higher level.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.com
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $177688 - $266000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/88.txt b/job-postings/23-03-2025/88.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b927d5ffd4ca8f4d6289c8be2e48d72dcd9d9ceb
--- /dev/null
+++ b/job-postings/23-03-2025/88.txt
@@ -0,0 +1,65 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+TikTok's advertising business is built on leveraging external signals to create features and labels that train personalized ad models. As signal loss becomes a growing challenge in online advertising, our Ads Identity and Attribution team is at the forefront of addressing this shift. We focus on identity matching (deriving user identification from signals) and ad attribution (assigning signals to ad touchpoints), both critical to the data foundation of TikTok's ad delivery system. What began as a technical engineering problem has evolved into a large-scale system challenge, requiring both cutting-edge data processing technologies and innovative machine learning algorithms.
+
+Responsibilities:
+
+By joining us, you'll have the opportunity to participate in the development of algorithms and systems for one of the world's leading ranking and recommendation services. Your work will mainly include:
+
+Developing advanced ML and LLM algorithms (including retrieval, ranking, calibration modules) for signal matching systems at the scale of millions of QPS
+Iterating and optimizing ranking algorithms and strategies through data analysis and experimentation.
+Leading the development and operational work of large-scale, distributed real-time systems for testing, integrating, and deploying machine learning models.
+Creating algorithms and data-driven solutions that utilize one of the world’s richest user behavior datasets for various ads-related use cases, such as ads ranking, targeting, bidding, calibration, and reporting.
+Collaborating with product teams to define product strategies and features.
+
+Qualifications
+
+Qualifications:
+
+Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields from an internationally renowned university.
+Proficient in one or more general-purpose programming languages, including but not limited to: Go, C/C++, Python.
+Experience in machine learning/deep learning algorithm development at large internet companies in one of the following areas: search, ads, or recommendation.
+
+Preferred Qualifications (for senior positions, must meet at least one):
+
+PhD and research experience in AI fields such as ML, NLP, CV, with papers published in top-tier conferences/journals (e.g., ICML, NIPS, KDD).
+Experience of engineering development experience for systems at millions of QPS scale
+Experience leading complex projects with successful delivery.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $210000 - $358000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/89.txt b/job-postings/23-03-2025/89.txt
new file mode 100644
index 0000000000000000000000000000000000000000..60db0a191e9786a2f8caf16c7d17037276618058
--- /dev/null
+++ b/job-postings/23-03-2025/89.txt
@@ -0,0 +1,58 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.
+
+We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!
+
+Responsibilities:
+
+Develop automated creative generation across various modalities for advertising, including text, image, video, etc., explore and apply LLM/SD models for high-quality content creation;
+Develop next-generation conversational assistant on the top of LLMs to enhance user intention and context understanding and complex task completion capabilities;
+Be self-motivated to come up with new solutions that can improve chat experience, model outputs, and explore new products with generative AI at its core.
+
+Qualifications
+
+Qualifications
+
+Bachelor's degree or above, majoring in Computer Science or related fields.
+7+ years of relevant development experience and demonstrated knowledge of machine learning technology (RecSys/NLP/CV).
+Has experience in utilizing Generative AI technology in marketing texts, images and videos, familiar with LLMs and model finetuning (instruct tuning, SFT, RLHF, etc.)
+Passion for new technologies and proven capability in analysis and problem-solving.
+Good team player, communication skills and project management experience is preferred.
+Strong perseverance and courage to help the business to a higher level.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.com
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $210000 - $358000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/9.txt b/job-postings/23-03-2025/9.txt
new file mode 100644
index 0000000000000000000000000000000000000000..eb988e3100f76022be5d70e29d58def66a73e384
--- /dev/null
+++ b/job-postings/23-03-2025/9.txt
@@ -0,0 +1,32 @@
+ML Engineer Tysons Corner, VA
+
+This Jobot Job is hosted by: Charles Simmons
+
+Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
+
+Salary: $150,000 - $200,000 per year
+
+A bit about us:
+
+Our client is a well-funded deep tech company headquartered in Northern Virginia, building a suite of autonomous software reliability and testing products. Their team is collaborative, highly technical, and customer focused. They prioritize the long-term in our structure, our products, and our relationships.
+
+Their team is in the office daily, which helps us tackle the difficult challenges we're working on, together. They are building something ambitious and valuable, and having fun doing it! Take a look at the positions below and reach out if you're interested.
+
+Why join us?
+
+Our client is looking for senior engineers to join our effort to build our autonomous testing product. As a Lead ML Engineer, you will work with a small, focused team on open-ended and novel applications of unsupervised representation learning. As part of Antithesis's mission to revolutionize autonomous software testing, you will push the boundaries on fundamental questions of software exploration and guided fuzzing.
+
+They are doing things nobody has done before, so they don't require expertise with any specific language or framework, etc. Mainly we care that: you're smart, get things done, a joy to work with, and are comfortable dealing with open-ended/poorly-defined problems.
+
+Job Details
+
+3+ years of Python experience
+2+ years of PyTorch or a similar framework
+Cloud Experience
+BS or MS or PHd in CS, Mathematics, Physics or similar
+
+Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
+
+Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
+
+Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/90.txt b/job-postings/23-03-2025/90.txt
new file mode 100644
index 0000000000000000000000000000000000000000..400a1f2dfc6eb63551539da477a79e595cab56a4
--- /dev/null
+++ b/job-postings/23-03-2025/90.txt
@@ -0,0 +1,45 @@
+Description
+
+The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior SDE with a strong machine learning background, to lead the development of industry-leading models with multimodal systems.
+
+As a Senior SDE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.
+
+The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.
+
+Key job responsibilities
+
+Responsible for pre-training multimodal LLMs
+Work closely with Applied scientists to scale pre-training of machine learning models on GPUs while optimizing the training workflows using highly distributed training techniques and frameworks (Like FSDP, NVIDIA NeMo, Megatron Core etc)
+Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
+Will work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
+
+About The Team
+
+AGI Foundations team is responsible for building industry leading generative AI models.
+
+Basic Qualifications
+
+5+ years of non-internship professional software development experience
+5+ years of programming with at least one software programming language experience
+5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
+Experience as a mentor, tech lead or leading an engineering team
+2+ years of expertise in Machine Learning and model training
+
+Preferred Qualifications
+
+5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
+Bachelor's degree in computer science or equivalent
+Expertise in training Generative AI vision models
+
+Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
+
+Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
+
+Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
+
+Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
+
+
+Company - Amazon.com Services LLC
+
+Job ID: A2894216
\ No newline at end of file
diff --git a/job-postings/23-03-2025/91.txt b/job-postings/23-03-2025/91.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8b19923aa5726c37b5dcea7d15df071bc63cdce4
--- /dev/null
+++ b/job-postings/23-03-2025/91.txt
@@ -0,0 +1,61 @@
+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.
+
+Responsibilities
+
+Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc. in TikTok
+Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently
+Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation
+Design and build supporting/debugging tools as needed
+
+Qualifications
+
+Minimum Qualifications:
+
+Bachelor or above degree in Computer Science or related fields with strong programming and problem-solving ability
+At least 3 years working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields
+
+Preferred Qualifications:
+
+Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
+Experience in Deep Learning Tools such as tensorflow/pytorch
+Experience with at least one programming language like C++/Python or equivalent
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $194000 - $355000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/92.txt b/job-postings/23-03-2025/92.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dc750f9f3fa34c56307a2c1b73d10beb6895f32f
--- /dev/null
+++ b/job-postings/23-03-2025/92.txt
@@ -0,0 +1,84 @@
+Responsibilities
+
+About TikTok U.S. Data Security
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Join us.
+
+Team Intro
+
+The Global Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform.
+
+The Global Payment Decision Science team is responsible for building data science and machine learning solutions to optimize our payment services leveraging large scale datasets and advanced algorithms. These solutions are key components for various business use cases, such as financial risk, payment compliance, marketing growth, and more.
+
+In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
+
+Responsibilities:
+
+You will be responsible to design and build advanced data science and algorithm solutions to solve interesting and impactful business problems, such as fraud prevention, AML, user experience customization and optimization, campaign management, etc.
+
+Detailed Job Responsibility Includes:
+
+Understand the payment business, translate business problems into data science and algorithm solutions where it fits
+Apply cutting edge machine learning technologies in various payment business use cases
+Own end to end model solution lifecycle and work with stakeholders to deliver business impact
+Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization
+Up-level risk machine learning excellence in privacy/compliance, interoperability, risk perception, and analysis
+
+Qualifications
+
+Minimum Qualifications:
+
+Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors
+Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc
+Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala
+
+Preferred Qualifications:
+
+Experienced in Machine Learning and Deep Learning algorithms
+2+ years of machine learning-related experience, preferably in trust&safety/risk management/compliance
+Working experience in payment and fintech industry
+Ecommerce or payment compliance experience
+
+D&I Statement
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+Accommodation Statement
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/ktJP6
+
+Data Security Statement
+
+This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $116000 - $250000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/93.txt b/job-postings/23-03-2025/93.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fd104aa945f8620bc374a83b5d5a931bb633e259
--- /dev/null
+++ b/job-postings/23-03-2025/93.txt
@@ -0,0 +1,68 @@
+Responsibilities
+
+About ByteDance
+
+Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
+
+Why Join Us
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.
+
+Team Intro
+
+Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.
+
+With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.
+
+Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.
+
+The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI. In our team, you'll have the opportunity to build the large-scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.
+
+Responsibilities:
+
+Responsible for ensuring our ML systems are operating and running efficiently for large model development, training, evaluation, and inference
+Responsible for the stability of offline tasks/services in multi-data center, multi-region, and multi-cloud scenarios
+Responsible for resource management and planning, cost and budget, including computing and storage resources
+Responsible for global system disaster recovery, cluster machine governance, stability of business services, resource utilisation improvement and operation efficiency improvement
+Build software tools, products and systems to monitor and manage the ML infrastructure and services efficiently
+Be part of the global team roster that ensures system and business on-call support
+
+Qualifications
+
+Minimum Qualifications:
+
+Bachelor's degree or above, major in computer science, computer engineering or related
+Strong proficiency in at least one programming language such as Go/Python/Shell in Linux environment
+Strong hands-on experience with Kubernetes and containers skills, and have more than 2 years of relevant operation and maintenance experience
+Possess excellent logical analysis ability, able to reasonably abstract and split business logic
+Have good documentation principles and habits to be able to write and update workflow and technical documentation as required on time
+Possess a strong sense of responsibility, good learning ability, communication ability and self-drive, good team spirit
+
+Preferred Qualifications
+
+Engaged in the operation and maintenance of large-scale ML distributed systems
+Experience in operation and maintenance of GPU servers
+
+ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Annually)
+
+The base salary range for this position in the selected city is $145000 - $355000 annually.
+
+Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
+
+Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/94.txt b/job-postings/23-03-2025/94.txt
new file mode 100644
index 0000000000000000000000000000000000000000..723419d4ba0250bda568c9cab8e87c0158474e55
--- /dev/null
+++ b/job-postings/23-03-2025/94.txt
@@ -0,0 +1,84 @@
+Job Description
+
+Join the team redefining how the world experiences design.
+
+Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!
+
+Thanks for stopping by. We know job hunting can be a little time-consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
+
+Where And How You Can Work
+
+Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have a choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you.
+
+What You’d Be Doing In This Role
+
+As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
+
+At the moment, in this role you will
+
+Partner with our leadership on developing an AI/ML strategy and roadmap to improve the customer support experience.
+Be accountable for the delivery of the primary identified opportunities in UV, partnering with product and engineering teams.
+Lead the ML development of a natural language understanding/processing system that integrates seamlessly into the Canva Product.
+Collaborate with MLEs across the organisation to tap into existing ML capabilities and/or work on cross-organisation problems and solutions.
+
+
+You're probably a match if
+
+You have more than 5 years of Industry experience in the machine learning/software engineering role with a Product/SaaS company.
+You have experience with industry-level high scale Natural Language Systems.
+You have experience building and deploying machine learning models, including a strong understanding of end-to-end machine learning pipelines and components.
+You have strong coding proficiency in Python (note that interviews will be in Python).
+You are familiar with several of the following: TensorFlow, PyTorch, scikit-learn, Langchain and Huggingface.
+You have worked with RAG architectures and/or have a good understanding of its application.
+You have a strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
+You have ideally previously worked in Customer Support and/or Business Process automation role.
+You have excellent collaboration and communication skills. You enjoy pairing with and mentoring other engineers.
+You have a proven ability to set medium to long-term vision for the team in the AI space.
+
+
+About User Voice
+
+At Canva, we believe that supporting our users is a thrilling and intricate puzzle to solve. Our mission is to ensure that every user feels empowered and heard, especially when we're aiming to scale our user base to an incredible 1 billion users! That's where our User Voice super team comes in, acting as the vital link between our users and Canva's most valuable partners.
+
+Our teams work hard to deliver an outstanding customer experience, including streamlined systems, optimised contact flows, and expert support specialists. We also provide tools like our Help Center, Assistant, and Chatbot to enable our users to help themselves. We’re making sure every user can instantly solve their issues or find answers to their questions.
+
+About The Team
+
+We are revolutionising the way users interact with our platform! As a member of our team, you will have the opportunity to work on a cutting-edge natural language understanding system that seamlessly integrates into Canva, enabling users to find help easily.
+
+We are proud to have recently released a milestone of our LLM-powered help system for customer support and we are the first conversational AI product at Canva!
+
+We embrace a remote-friendly work environment, allowing you the flexibility to work from anywhere in Australia. With team members located in Australia, New Zealand, the Philippines and China, you will be joining a diverse and inclusive team that values collaboration and creativity.
+
+The Machine Learning Engineering specialty delivers value to Canva’s users, by designing, building and maintaining complex production systems to apply statistics and machine learning at scale. We're building a highly personalised Canva;
+
+Developing and productionising user modelling that directly drives product features and targeting messaging and marketing.
+Making it easy for users to discover over 100M+ templates, photos, videos and elements;
+Applying ML to label and transform a vast number and variety of images.
+Leveraging our unique data to empower users to design.
+Creating designs using Conversational Experiences.
+
+
+We're looking to grow the team to continue to scale the impact of machine learning across Canva. You'll be joining a fast-moving cross-functional team, rapidly building and shipping machine learning-driven features to users and staff.
+
+What's in it for you?
+
+Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.
+
+Here's a Taste Of What's On Offer
+
+Equity packages - we want our success to be yours too
+Inclusive parental leave policy that supports all parents & carers
+An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
+Flexible leave options that empower you to be a force for good, take time to recharge and support you personally
+
+
+Check out lifeatcanva.com for more info.
+
+Other Stuff To Know
+
+We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
+
+We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!
+
+Please note that interviews are conducted virtually.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/95.txt b/job-postings/23-03-2025/95.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8d0dc394813768c35016639ac0eb0ff5c4ede1fc
--- /dev/null
+++ b/job-postings/23-03-2025/95.txt
@@ -0,0 +1,87 @@
+Job Description
+
+Please note this role is open to candidates willing to relocate to Australia or New Zealand**
+
+
+Join The Team Redefining How The World Experiences Design.
+
+Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!
+
+Thanks for stopping by. We know job hunting can be a little time-consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
+
+Where And How You Can Work
+
+Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have a choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you.
+
+What You’d Be Doing In This Role
+
+As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
+
+At the moment, in this role you will
+
+Partner with our leadership on developing an AI/ML strategy and roadmap to improve the customer support experience.
+Be accountable for the delivery of the primary identified opportunities in UV, partnering with product and engineering teams.
+Lead the ML development of a natural language understanding/processing system that integrates seamlessly into the Canva Product.
+Collaborate with MLEs across the organisation to tap into existing ML capabilities and/or work on cross-organisation problems and solutions.
+
+
+You're probably a match if
+
+You have more than 5 years of Industry experience in the machine learning/software engineering role with a Product/SaaS company.
+You have experience with industry-level high scale Natural Language Systems.
+You have experience building and deploying machine learning models, including a strong understanding of end-to-end machine learning pipelines and components.
+You have strong coding proficiency in Python (note that interviews will be in Python).
+You are familiar with several of the following: TensorFlow, PyTorch, scikit-learn, Langchain and Huggingface.
+You have worked with RAG architectures and/or have a good understanding of its application.
+You have a strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns.
+You have ideally previously worked in Customer Support and/or Business Process automation role.
+You have excellent collaboration and communication skills. You enjoy pairing with and mentoring other engineers.
+You have a proven ability to set medium to long-term vision for the team in the AI space.
+
+
+About User Voice
+
+At Canva, we believe that supporting our users is a thrilling and intricate puzzle to solve. Our mission is to ensure that every user feels empowered and heard, especially when we're aiming to scale our user base to an incredible 1 billion users! That's where our User Voice super team comes in, acting as the vital link between our users and Canva's most valuable partners.
+
+Our teams work hard to deliver an outstanding customer experience, including streamlined systems, optimised contact flows, and expert support specialists. We also provide tools like our Help Center, Assistant, and Chatbot to enable our users to help themselves. We’re making sure every user can instantly solve their issues or find answers to their questions.
+
+About The Team
+
+We are revolutionising the way users interact with our platform! As a member of our team, you will have the opportunity to work on a cutting-edge natural language understanding system that seamlessly integrates into Canva, enabling users to find help easily.
+
+We are proud to have recently released a milestone of our LLM-powered help system for customer support and we are the first conversational AI product at Canva!
+
+We embrace a remote-friendly work environment, allowing you the flexibility to work from anywhere in Australia. With team members located in Australia, New Zealand, the Philippines and China, you will be joining a diverse and inclusive team that values collaboration and creativity.
+
+The Machine Learning Engineering specialty delivers value to Canva’s users, by designing, building and maintaining complex production systems to apply statistics and machine learning at scale. We're building a highly personalised Canva;
+
+Developing and productionising user modelling that directly drives product features and targeting messaging and marketing.
+Making it easy for users to discover over 100M+ templates, photos, videos and elements;
+Applying ML to label and transform a vast number and variety of images.
+Leveraging our unique data to empower users to design.
+Creating designs using Conversational Experiences.
+
+
+We're looking to grow the team to continue to scale the impact of machine learning across Canva. You'll be joining a fast-moving cross-functional team, rapidly building and shipping machine learning-driven features to users and staff.
+
+What's in it for you?
+
+Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.
+
+Here's a Taste Of What's On Offer
+
+Equity packages - we want our success to be yours too
+Inclusive parental leave policy that supports all parents & carers
+An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
+Flexible leave options that empower you to be a force for good, take time to recharge and support you personally
+
+
+Check out lifeatcanva.com for more info.
+
+Other Stuff To Know
+
+We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
+
+We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!
+
+Please note that interviews are conducted virtually.
\ No newline at end of file
diff --git a/job-postings/23-03-2025/96.txt b/job-postings/23-03-2025/96.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4fbe1c059d0b2b199dc2e30bcfe300468594f385
--- /dev/null
+++ b/job-postings/23-03-2025/96.txt
@@ -0,0 +1,45 @@
+About Rippling
+
+Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
+
+Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
+
+Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
+
+We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
+
+About The Role
+
+We are seeking a highly skilled and experienced Senior Staff Machine Learning Engineer to join our team. As an engineer working on large language models (LLMs) at Rippling, you will work closely with product teams to build tools that people use. The work is necessarily cross-functional, and successful individuals on our team have an unusually high degree of ownership. Your expertise will contribute to the advancement of our organization's machine learning capabilities and drive innovation in our products and services.
+
+What You Will Do
+
+Collaborate with cross-functional teams to translate business requirements into models. 
+Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation. You will work with data engineers to collect and preprocess data sets for model training. 
+Implement models in our production code base (primarily Python, Go). 
+Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products. 
+
+Qualifications
+
+Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 6 or more years full-time Software Engineering work experience; OR
+10 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing. 
+Comfortable with hands-on programming (eg, Python, Go, Java, C/C++) 
+Ability to communicate complex technical ideas with clarity and precision. 
+
+Additional Qualifications
+
+Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques. 
+
+Additional Information
+
+Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com
+
+Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
+
+This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
+
+A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
+
+The pay range for this role is:
+
+201,000 - 351,750 USD per year(US Tier 1)
\ No newline at end of file
diff --git a/job-postings/23-03-2025/97.txt b/job-postings/23-03-2025/97.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fb0df18359122d0067e81b2d9b2b6f2ff072d243
--- /dev/null
+++ b/job-postings/23-03-2025/97.txt
@@ -0,0 +1,25 @@
+Description
+
+Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
+
+As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
+
+We are hiring in the area of speech recognition (ASR) and associated technologies.
+
+Basic Qualifications
+
+3+ years of building models for business application experience
+PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
+Experience in patents or publications at top-tier peer-reviewed conferences or journals
+Experience programming in Java, C++, Python or related language
+Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
+
+Preferred Qualifications
+
+Experience using Unix/Linux
+Experience in professional software development
+
+
+Company - ADCI - Karnataka
+
+Job ID: A2826940
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+Our Journey
+
+ShopBack started as a spark of inspiration one night in 2014 when Henry and Joel were brainstorming ideas in Henry’s car. That lightbulb moment — earning Cashback while shopping online — was just the beginning. Fueled by the countless possibilities, the team locked themselves in a hotel room for 24 hours to code the very first prototype. Their mission? To revolutionize shopping by helping advertisers market more cost-effectively, while making every purchase more rewarding for shoppers.
+
+Today, ShopBack is the leading shopping, rewards, and payments platform in Asia-Pacific, empowering 45 million shoppers across 12 markets. With 20,000+ partners and over half a million transactions daily, we’re redefining the way the world shops. As we expand globally, we’re looking for adventurous, driven individuals to help us build The World’s Most Rewarding Way to Shop.
+
+Your Adventure Ahead
+
+Utilize Machine Learning: Enhance our products and improve the shopping experience for both users and merchants. This includes leveraging machine learning in areas such as recommendations, personalization, risk, fraud detection, search, and more.
+Subject Matter Expertise: Be a subject matter expert in a specific ML domain while maintaining a solid understanding of product and user challenges.
+Handle Ambiguity: Navigate and resolve ambiguous problem definitions effectively with or without dedicated Product Manager support.
+Metrics Driven: Understand critical business and product metrics, apply the right tools and technologies, and drive efforts to positively influence those metrics.
+Experimentation Culture: Foster a fast-paced, high-iteration experimental culture to test and refine solutions quickly.
+Collaboration: Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes.
+Curious: Interest in exploring and learning the latest technologies in the industry.
+
+
+Essentials To Succeed
+
+Significant prior success as a Machine Learning Engineer working on challenging problems at scale
+2-3 years of industrial ML experience, with expertise in modeling and statistical modeling
+Good understanding of data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - aka MLOps
+Ability to develop ML Products with good engineering practice and mindset
+Strong desire to solve tough problems with scientific rigour at scale
+An understanding of the value derived from getting results early and iterating
+Education in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics
+Strong skills in Python and machine learning and deep learning libraries (Pytorch and Tensorflow)
+Passion to answer Product/Engineering questions with data
+
+
+ShopBackers' DNA
+
+Grit - We tackle all challenges head-on, working together to solve problems and achieve success.
+
+Hunger - We value hard work, and having relentless drive.
+
+Speed - We move fast and have a bias for action, all to deliver maximum impact.
+
+Impact - We focus on results, always aiming for the best possible outcomes and timelines.
+
+Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles.
+
+Exclusively for ShopBackers
+
+Career progression paths and opportunities to take on greater challenges that help you realise your ambitions.
+
+Be part of a winning team on a journey to global scale.
+
+Competitive compensation based on your performance.
+
+Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.
+
+Work-From-Anywhere benefit to enable you to thrive personally and professionally.
+
+ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference!
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+We are seeking a skilled Machine Learning Engineer to join our team and contribute to the development of our technologies in data processing and automation in GenAI. The ideal candidate will have expertise in natural language processing (NLP) and deep learning techniques. You will be responsible for designing and implementing AI models that enable seamless and intelligent algorithms to enhance our platform's capabilities.
+
+Responsibilities:
+Develop and optimize NLP systems to improve understanding and generation capabilities of a GenAI engine
+Implement and maintain deep learning models with a focus on scalability and efficiency.
+Collaborate with data scientists to interpret findings and integrate machine learning algorithms.
+Conduct continuous model testing and iterations to enhance performance.
+Stay updated with the latest advancements in machine learning and NLP.
+
+Qualifications:
+Advanced degree in Computer Science, AI, or a related field.
+Strong programming skills in Python, with experience in TensorFlow or PyTorch.
+Demonstrable experience with machine learning applications.
+Excellent problem-solving and analytical skills.
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