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job-postings/09-02-2025/1.txt

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+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) 
+At least 3 years of experience designing and building data-intensive solutions using distributed computing 
+At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 
+At least 1 year of experience productionizing, monitoring, and maintaining models 
+
+Preferred Qualifications:
+
+1+ years of experience building, scaling, and optimizing ML systems 
+1+ years of experience with data gathering and preparation for ML models 
+2+ years of experience developing performant, resilient, and maintainable code 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+3+ years of experience with distributed file systems or multi-node database paradigms 
+Contributed to open source ML software 
+Authored/co-authored a paper on a ML technique, model, or proof of concept 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+Plano, TX: $144,200 - $164,600 for Senior Machine Learning Engineer
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/09-02-2025/10.txt

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+We have a manager looking for a Machine Learning Engineer.
+
+Must have experience experience designing & implementing AI-driven tools.
+
+Pay And Benefits
+
+The pay range for this position is $70.24 - $70.24/hr.
+
+Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
+
+Medical, dental & vision
+
+Critical Illness, Accident, and Hospital
+
+401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
+
+Life Insurance (Voluntary Life & AD&D for the employee and dependents)
+
+Short and long-term disability
+
+Health Spending Account (HSA)
+
+Transportation benefits
+
+Employee Assistance Program
+
+Time Off/Leave (PTO, Vacation or Sick Leave)
+
+Workplace Type
+
+This is a hybrid position in Charlotte,NC.
+
+Application Deadline
+
+This position is anticipated to close on Feb 21, 2025.
+
+About TEKsystems:
+
+We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
+
+The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

job-postings/09-02-2025/2.txt

@@ -0,0 +1,60 @@
+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) 
+At least 3 years of experience designing and building data-intensive solutions using distributed computing 
+At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 
+At least 1 year of experience productionizing, monitoring, and maintaining models 
+
+Preferred Qualifications:
+
+1+ years of experience building, scaling, and optimizing ML systems 
+1+ years of experience with data gathering and preparation for ML models 
+2+ years of experience developing performant, resilient, and maintainable code 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+3+ years of experience with distributed file systems or multi-node database paradigms 
+Contributed to open source ML software 
+Authored/co-authored a paper on a ML technique, model, or proof of concept 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+Plano, TX: $144,200 - $164,600 for Senior Machine Learning Engineer
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/09-02-2025/3.txt

@@ -0,0 +1,56 @@
+About Agoda
+
+Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
+
+Our Purpose – Bridging the World Through Travel 
+
+We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
+
+We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
+
+Get to Know our Team
+
+The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
+
+The Opportunity
+
+As a Principal Engineer in MLOps, you will lead the design, development, and implementation of machine learning operations across our platforms. You will collaborate with cross-functional teams in data platform, infrastructure & DevOps to ensure that machine learning workloads are easily & efficiently built and are seamlessly integrated into production environments, ensuring reliability, scalability, and reproducibility
+
+In this Role, you’ll get to:
+
+Lead and mentor a team of engineers focused on MLOps practices. 
+Work closely with data scientists & other ML practitioners to support the building & deployment of AI/ML models and ensure they meet production standards
+Communicate with TPMs & other stakeholders on the vision, roadmaps and immediate scope
+Foster a culture of continuous improvement and operational excellence within the team
+
+What you’ll Need to Succeed:
+
+Overall experience of 10+ years in engineering roles
+Proven experience in an engineering role with a focus on MLOps / Data Engineering / ML Engineering
+Strong programming skills in languages such as Kotlin, Scala, Java and familiarity with Python & machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 
+Experience with MPP frameworks like Spark, Ray, Dask
+Experience with Orchestration platforms such as KubeFlow & Airflow
+Experience with model life cycle management tools like MLFlow and Weights & Biases
+Excellent problem-solving skills and a proactive approach to addressing issues
+Strong communication skills, with the ability to explain complex technical details to stakeholders at all levels. 
+Experience working in a large scale web company, with a multi-tenant data platform
+Can perform deep research & take decisions on complex projects. Can easily toggle between running as a lone wolf and also works great as part of a pack
+Bachelor’s degree in Computer Science, Engineering, or a related field. 
+
+It’s Great if you have: 
+
+Master’s or Ph.D. degree in a technical field
+Experience with Kubernetes for effective container orchestration and scaling, as well as pipeline orchestration platform such as Airflow or Kubeflow
+Deep understanding of CI/CD pipelines, automation tools, and practices relevant to Back End and and Front End development
+
+This position is based in Singapore. (Relocation support is provided)
+
+#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #ENG #4 #5
+
+Equal Opportunity Employer 
+
+At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
+
+We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .
+
+To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

job-postings/09-02-2025/4.txt

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+Job Identification: 2243
+Job Category: Trainee
+Posting Date: 17.12.2024
+Job Schedule: Full time
+Company: ELCA Informatique SA
+
+Job Description
+
+PostgresML is a PostgreSQL extension, which inverts the current paradigm of continuously moving the data to the Large Language Models (LLM). Instead, it moves the models to the (local) database. PostgresML allows to take advantage of the fundamental relationship between data and models and thus allows for local access to the latest open-source ML & AI algorithms, eg from Huggingface inside the database with a SQL API. It also provides native language SDKs to access the models as well as support for GPU acceleration.
+
+Your Tasks
+
+ELCA Has Gained Previous Experience With PostgresML And Based On The Resulting Proof Of Concept (PoC) Aims To Revisit The Key Topics In a Follow-up Project
+
+Integrated Learning: Embeds machine learning directly within the PostgreSQL database, reducing latency, improving data processing efficiency, and ensuring a secure data flow
+Retrieval-Augmented Generation (RAG) Framework: Combines generative AI with retrieval systems (vector search) for precise and contextually relevant responses
+Privacy and Security: All data stays within the database, offering robust data privacy—ideal for sectors requiring important data protection
+Design part (UI): Interactive user interface, with planned enhancements for usability
+Get familiar with the features of PostgresML and gain experience with running it on a local machine as well as on AWS (or OKD)
+Document the trade-offs between the quality attributes of the LLMs vs the needed resources to run the LLMs, eg quantization, fine tuning small LLMs
+Rewrite the current PoC to handle more traffic and to become more stable and resilient, eg large context windows
+Extend the current PoC with additional enhancements, eg Agents
+Present the results in an ELCA Brownbag session
+
+Our offer
+
+A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
+The chance to make a difference in peoples’ life by building innovative solutions
+Various internal coding events (Hackathon, Brownbags), see our technical blog
+Monthly After-Works organized per locations
+Good work-life balance (2 days per week from home)
+
+Your profile
+
+Good understanding of ML and LLMs
+Basic understanding of Python, Java, TypeScript and SQL
+Interest in application architectures
+Interest in comparing and applying different development approaches
+Fluent in German and English , French is an advantage
+Bachelors degree

job-postings/09-02-2025/5.txt

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+GEICO is seeking an experienced Senior Engineer with a passion for building high performance, low-latency platforms and applications. You will help drive our insurance business transformation as we redefine experiences for our customers.
+
+Position Description
+
+Our Senior Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.
+
+Position Responsibilities
+
+As a Senior Engineer, you will:
+
+Scope, design, and build scalable, resilient distributed systems
+Build product definition and leverage your technical skills to drive towards the right solution
+Engage in cross-functional collaboration throughout the entire software lifecycle
+Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
+Define, create, and support reusable application components/patterns from a business and technology perspective
+Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.
+Superior experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark
+Mentor other engineers
+Consistently share best practices and improve processes within and across teams
+
+Qualifications
+
+6+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics
+Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics.
+Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.
+Mastery of data processing using SQL, Hive, Impala, Spark, or equivalent querying language
+Superior experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark
+Experience architecting and designing new and current systems
+Advanced understanding of monitoring concepts and tooling
+Advanced understanding of security protocols and products
+Experience with continuous delivery and infrastructure as code
+In-depth knowledge of CS data structures and algorithms
+Strong problem-solving ability
+Ability to excel in a fast-paced environment
+Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
+Architecture assessment and proposals
+
+Experience
+
+6+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics
+6+ years of experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark
+5+ years of experience with architecture and design
+5+ years of experience in open-source frameworks
+
+Education
+
+Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
+
+Annual Salary
+
+$80,000.00 - $230,000.00
+
+The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
+
+At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
+
+Benefits
+
+As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
+
+Premier Medical, Dental and Vision Insurance with no waiting period**
+Paid Vacation, Sick and Parental Leave
+401(k) Plan
+Tuition Reimbursement
+Paid Training and Licensures
+Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
+Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
+
+The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
+
+GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

job-postings/09-02-2025/6.txt

@@ -0,0 +1,45 @@
+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 "Apply Now" button and sending us your resume.
+
+Salary: $180,000 - $250,000 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 "Apply Now" button.

job-postings/09-02-2025/7.txt

@@ -0,0 +1,49 @@
+Design and implement novel solutions to challenges in ML and NLP with a rapid growth SaaS startup.
+
+This Jobot Job is hosted by: Charles Simmons
+
+Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
+
+Salary: $140,000 - $180,000 per year
+
+A bit about us:
+
+Well funded b2b SaaS startup working to modernize the manual nature of working with clients to track project progress and interact with customers.
+
+Why join us?
+
+Work on novel applications of ML and LLMs in a small collaborative team environment
+Unlimited PTO, flexible work hours
+Comprehensive health, vision, and dental plans for individuals and families
+Competitive salary and equity
+
+Job Details
+
+Job Details:
+
+Our company is seeking a dedicated and passionate Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will work closely with our data scientists and engineers to design, develop, and implement cutting-edge machine learning algorithms. You will have the opportunity to work on exciting projects in the technology industry, using your skills to shape the future of our company and the industry as a whole. This is a permanent, full-time position that offers an excellent opportunity for growth and advancement.
+
+Responsibilities:
+
+Design and develop machine learning systems: You will be responsible for researching, designing, and implementing machine learning algorithms to solve complex problems and improve our products and services.
+Collaborate with data scientists and engineers: You will work closely with our team of data scientists and engineers to understand their needs and design solutions that meet those needs.
+Analyze and interpret complex data: You will need to analyze and interpret complex data sets to identify trends and patterns that can be used to improve our machine learning algorithms.
+Stay up-to-date with the latest machine learning developments: You will need to stay up-to-date with the latest developments in machine learning and incorporate these developments into your work.
+Present your findings to stakeholders: You will need to present your findings and recommendations to stakeholders in a clear and concise manner.
+
+Qualifications:
+
+Bachelor's degree in Computer Science, Mathematics, or a related field. A Master's degree or PhD would be an advantage.
+A minimum of 5 years of experience working as a Machine Learning Engineer or in a similar role.
+Strong knowledge of machine learning algorithms and principles. Experience with TensorFlow, PyTorch, Hugging Face, LangChain, or similar.
+Experience with Natural Language Processing (NLP) is a must, practical experience applying LLMs would be great.
+Proficiency in programming languages such as Python, Java, or C++.
+Strong analytical and problem-solving skills.
+Excellent communication skills, with the ability to present complex information in a clear and concise manner.
+A passion for machine learning and a desire to stay up-to-date with the latest developments in the field.
+The ability to work well in a team and collaborate with colleagues from different backgrounds and disciplines.
+A proactive attitude, with the ability to take initiative and work independently when needed.
+
+Join our team and use your skills and passion for machine learning to shape the future of the technology industry. We are excited to see what you will bring to our company!
+
+Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

job-postings/09-02-2025/8.txt

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+Defense industry leader in Machine Learning/Deep Learning programs - we are hiring for multiple roles in our Los Angeles HQ!
+
+This Jobot Job is hosted by: Alec Davis
+
+Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
+
+Salary: $150,000 - $250,000 per year
+
+A bit about us:
+
+We are a well established Defense contractor with deep expertise in Machine Learning and Deep Learning projects for Military and Homeland Security programs.
+
+As a leader in our space, we continue to beat out the competition in earning the most challenging and rewarding contracts in the industry. As a result of our continued success in securing these contracts, we are looking to hire several ML/AI experts with Top Secret or TS/SCI Clearance to join our team!
+
+Why join us?
+
+We offer above-market salary and excellent benefits which includes 15% 401K matching!
+
+You will work on the most challenging and rewarding problems in Machine Learning.
+
+Job Details
+
+Job Details:
+
+We are actively seeking a Machine Learning Engineer with Top Secret or SCI clearance to join our highly skilled team. This is an opportunity to work on high-impact, top-secret projects involving advanced machine learning and artificial intelligence. The ideal candidate will have a deep understanding of image and signal processing, RADAR, SAR (Synthetic Aperture Radar), and programming languages such as C++, C/C++, and Python. Knowledge of machine learning frameworks like Tensorflow and Keras is also essential.
+
+Responsibilities:
+
+Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR).
+Work closely with the data science team to design and implement models and algorithms that address complex business requirements.
+Apply your expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services.
+Maintain an active understanding of relevant hardware and software market leaders, industry trends, and emerging technologies.
+Ensure the security and confidentiality of all data by maintaining top secret or SCI clearance standards.
+Collaborate with cross-functional teams to understand their business needs and optimize solutions.
+Present complex findings in a clear and concise manner to non-technical stakeholders.
+Continuously improve machine learning models, data collection and processing procedures to adapt to ever-changing defense requirements and technologies.
+
+Qualifications:
+
+Bachelor's degree in Computer Science, Electrical Engineering, or related field. Advanced degree preferred.
+Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR).
+Proficiency in programming languages such as C++, C/C++, and Python.
+Experience with machine learning frameworks like Tensorflow and Keras.
+Solid understanding of machine learning principles, theories, concepts, and technologies.
+Must have active Top Secret or SCI clearance.
+Excellent problem-solving skills, attention to detail, and ability to work independently as well as in a team.
+Strong communication skills, both written and verbal, with the ability to present complex technical information in a clear and concise manner.
+Ability to handle multiple tasks, prioritize, and meet deadlines in a fast-paced environment.
+U.S. citizenship required due to the sensitive nature of the work.
+
+This is your chance to bring your skills to the forefront of technology and national security. If you're ready to be challenged, to grow, and to make a real difference, apply today!
+
+Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

job-postings/09-02-2025/9.txt

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+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 "Apply Now" button and sending us your resume.
+
+Salary: $180,000 - $250,000 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 "Apply Now" button.