{"schemaVersion":"jobsearcher.job.v1","id":"dee033f416f21d5b874fe2d4","url":"https://jobsearcher.com/jobs/dee033f416f21d5b874fe2d4","canonicalUrl":"https://jobsearcher.com/jobs/dee033f416f21d5b874fe2d4","title":"Sr. Machine Learning Engineer","description":"Senior Machine Learning Engineer (LLM Evaluation & AI Agents)*Location:* Menlo Park, CA (Hybrid)*Employment Type:* 6-Month Contract*Compensation:* $70.00-$85.00/hour (W-2)Help Advance the Next Generation of AI Agents We're seeking a Senior Machine Learning Engineer to support the development of advanced AI systems capable of interacting with software, tools, and digital environments. This role focuses on evaluating model performance, identifying failure patterns, building benchmark frameworks, and delivering insights that directly improve model quality and training outcomes.You'll work closely with machine learning researchers, engineers, and cross-functional partners in a fast-moving environment where experimentation, analysis, and problem-solving are central to success.What You'll DoDesign, build, and maintain benchmark suites and evaluation frameworks for AI/ML modelsExecute large-scale model evaluations and analyze performance across checkpointsInvestigate model failures and identify root causes behind poor performanceDevelop Python and SQL workflows to process, transform, and analyze large datasetsAutomate evaluation and reporting processes to improve efficiency and scalabilityPartner with researchers and engineering teams to translate findings into model improvementsDocument methodologies, experiments, and resultsCommunicate technical findings clearly to both technical and non-technical stakeholdersRequired QualificationsBachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field5+ years of hands-on experience developing with Python and SQL3+ years of applied Machine Learning or ML Engineering experienceExperience evaluating machine learning models and analyzing performance metricsExperience designing, implementing, or improving benchmarking and evaluation frameworksStrong analytical and problem-solving skills with the ability to perform detailed failure analysisExperience working with large-scale datasets and data pipelinesComfortable working in Linux-based environmentsStrong communication and collaboration skillsPreferred QualificationsExperience evaluating Large Language Models (LLMs) or Generative AI systemsExposure to Reinforcement Learning (RL) or Reinforcement Learning from Human Feedback (RLHF)Experience building automated evaluation pipelinesFamiliarity with agentic AI systems, AI assistants, or autonomous agentsResearch experience, publications, or contributions to ML/AI projectsWhat Success Looks LikeDelivering reliable benchmark and evaluation frameworksIdentifying actionable model failure trends and root causesProviding data-driven recommendations that improve model qualityBuilding scalable evaluation processes that accelerate research and development effortsCollaborating effectively across research, engineering, and product teamsWork EnvironmentHybrid work arrangement based in Menlo Park, CaliforniaCollaborative team spanning multiple locationsFast-paced research and engineering environment with evolving prioritiesOpportunity to work on cutting-edge AI and machine learning initiativesInterested? If you're passionate about machine learning evaluation, AI systems, data analysis, and solving complex technical challenges, we'd love to hear from you. Apply today to help shape the future of intelligent systems.*Job Type & Location*This is a Contract position based out of Menlo Park, CA.*Pay and Benefits*The pay range for this position is $70.00 - $85.00/hr.Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan - Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)*Workplace Type*This is a hybrid position in Menlo Park,CA.*Application Deadline*This position is anticipated to close on Aug 10, 2026.About TEKsystemsWe'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.About TEKsystems and TEKsystems Global ServicesWe're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.*San Francisco Fair Chance Ordinance:* Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.*Massachusetts Lie Detector:* It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.*Use of Artificial Intelligence (AI):* We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.","company":"TEKsystems","rawCompany":"teksystems","city":"Edison","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-08-20T11:41:56.632Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Machine Learning Engineer","description":"Senior Machine Learning Engineer (LLM Evaluation & AI Agents)*Location:* Menlo Park, CA (Hybrid)*Employment Type:* 6-Month Contract*Compensation:* $70.00-$85.00/hour (W-2)Help Advance the Next Generation of AI Agents We're seeking a Senior Machine Learning Engineer to support the development of advanced AI systems capable of interacting with software, tools, and digital environments. This role focuses on evaluating model performance, identifying failure patterns, building benchmark frameworks, and delivering insights that directly improve model quality and training outcomes.You'll work closely with machine learning researchers, engineers, and cross-functional partners in a fast-moving environment where experimentation, analysis, and problem-solving are central to success.What You'll DoDesign, build, and maintain benchmark suites and evaluation frameworks for AI/ML modelsExecute large-scale model evaluations and analyze performance across checkpointsInvestigate model failures and identify root causes behind poor performanceDevelop Python and SQL workflows to process, transform, and analyze large datasetsAutomate evaluation and reporting processes to improve efficiency and scalabilityPartner with researchers and engineering teams to translate findings into model improvementsDocument methodologies, experiments, and resultsCommunicate technical findings clearly to both technical and non-technical stakeholdersRequired QualificationsBachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field5+ years of hands-on experience developing with Python and SQL3+ years of applied Machine Learning or ML Engineering experienceExperience evaluating machine learning models and analyzing performance metricsExperience designing, implementing, or improving benchmarking and evaluation frameworksStrong analytical and problem-solving skills with the ability to perform detailed failure analysisExperience working with large-scale datasets and data pipelinesComfortable working in Linux-based environmentsStrong communication and collaboration skillsPreferred QualificationsExperience evaluating Large Language Models (LLMs) or Generative AI systemsExposure to Reinforcement Learning (RL) or Reinforcement Learning from Human Feedback (RLHF)Experience building automated evaluation pipelinesFamiliarity with agentic AI systems, AI assistants, or autonomous agentsResearch experience, publications, or contributions to ML/AI projectsWhat Success Looks LikeDelivering reliable benchmark and evaluation frameworksIdentifying actionable model failure trends and root causesProviding data-driven recommendations that improve model qualityBuilding scalable evaluation processes that accelerate research and development effortsCollaborating effectively across research, engineering, and product teamsWork EnvironmentHybrid work arrangement based in Menlo Park, CaliforniaCollaborative team spanning multiple locationsFast-paced research and engineering environment with evolving prioritiesOpportunity to work on cutting-edge AI and machine learning initiativesInterested? If you're passionate about machine learning evaluation, AI systems, data analysis, and solving complex technical challenges, we'd love to hear from you. Apply today to help shape the future of intelligent systems.*Job Type & Location*This is a Contract position based out of Menlo Park, CA.*Pay and Benefits*The pay range for this position is $70.00 - $85.00/hr.Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan - Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)*Workplace Type*This is a hybrid position in Menlo Park,CA.*Application Deadline*This position is anticipated to close on Aug 10, 2026.About TEKsystemsWe'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.About TEKsystems and TEKsystems Global ServicesWe're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.*San Francisco Fair Chance Ordinance:* Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.*Massachusetts Lie Detector:* It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.*Use of Artificial Intelligence (AI):* We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.","datePosted":"2026-08-20T11:41:56.632Z","dateModified":"2026-08-20T11:41:56.632Z","hiringOrganization":{"@type":"Organization","name":"TEKsystems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edison","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dee033f416f21d5b874fe2d4"},"url":"https://jobsearcher.com/jobs/dee033f416f21d5b874fe2d4"}}