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job-postings/23-03-2025/1.txt

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+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.

job-postings/23-03-2025/10.txt

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+. 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
+[email protected]
+"Mining The Knowledge Community"

job-postings/23-03-2025/100.txt

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+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.

job-postings/23-03-2025/11.txt

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+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.

job-postings/23-03-2025/12.txt

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+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

job-postings/23-03-2025/13.txt

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+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.

job-postings/23-03-2025/14.txt

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+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!

job-postings/23-03-2025/15.txt

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+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.

job-postings/23-03-2025/16.txt

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+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

job-postings/23-03-2025/17.txt

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+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

job-postings/23-03-2025/18.txt

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+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

job-postings/23-03-2025/19.txt

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+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

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

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

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.

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.

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 [email protected]
+
+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.

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.

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

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.

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!

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!

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!

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

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!

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

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!