{"schemaVersion":"jobsearcher.job.v1","id":"dec4fe25cd1e86b3cdc6dcb0","url":"https://jobsearcher.com/jobs/dec4fe25cd1e86b3cdc6dcb0","canonicalUrl":"https://jobsearcher.com/jobs/dec4fe25cd1e86b3cdc6dcb0","title":"Machine Learning Engineer","description":"About the companyOur client is an early-stage robotics company building robots to help re-industrialize America, starting with electronics manufacturing. It designs its own hardware and trains its own models, is backed by top-tier venture firms, and plans to grow to about 20 people.The roleRaydar is recruiting for this role on behalf of our client. You will own robot learning end to end, from data to deployed policy. The team just passed 100 hours of robot data and is scaling collection fast. This is applied work on real robots, not research for its own sake.What you'll doBuild pipelines that ingest and quality-check terabytes of robot data a dayPost-train models and set up fast, reliable training pipelinesCalibrate hardware and run data QC so models perform well on the team's setupSet the company's standards for data processing and model trainingTrack new robot learning research and apply what worksWhat we're looking for0 to 7 years of experience in robotics or machine learningHands-on experience with physical robots such as manipulators, drones or autonomous vehiclesExperience training and deploying learned policies on a real robotApplied ML engineering background rather than purely academic researchStrong Python and working knowledge of PyTorch, JAX or similarOpen to working on defense-related projectsTech stack: Python, PyTorch, JAX, C++, RustBonus pointsExperience at leading robotics or autonomous vehicle companiesDefense-tech experienceC++ or Rust proficiencyDistributed training or low-level GPU programming experienceCompensation and benefits$150K-$250K base0.1% to 1% equityMedical, dental and visionRelocation available; visa sponsorship and transfers supportedLocation and work modelSan Francisco, CA (Potrero Hill)On-site 5 days a week, plus Saturdays as neededFull-time","company":"Raydar","rawCompany":"raydar","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T09:21:31.560Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"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":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"About the companyOur client is an early-stage robotics company building robots to help re-industrialize America, starting with electronics manufacturing. It designs its own hardware and trains its own models, is backed by top-tier venture firms, and plans to grow to about 20 people.The roleRaydar is recruiting for this role on behalf of our client. You will own robot learning end to end, from data to deployed policy. The team just passed 100 hours of robot data and is scaling collection fast. This is applied work on real robots, not research for its own sake.What you'll doBuild pipelines that ingest and quality-check terabytes of robot data a dayPost-train models and set up fast, reliable training pipelinesCalibrate hardware and run data QC so models perform well on the team's setupSet the company's standards for data processing and model trainingTrack new robot learning research and apply what worksWhat we're looking for0 to 7 years of experience in robotics or machine learningHands-on experience with physical robots such as manipulators, drones or autonomous vehiclesExperience training and deploying learned policies on a real robotApplied ML engineering background rather than purely academic researchStrong Python and working knowledge of PyTorch, JAX or similarOpen to working on defense-related projectsTech stack: Python, PyTorch, JAX, C++, RustBonus pointsExperience at leading robotics or autonomous vehicle companiesDefense-tech experienceC++ or Rust proficiencyDistributed training or low-level GPU programming experienceCompensation and benefits$150K-$250K base0.1% to 1% equityMedical, dental and visionRelocation available; visa sponsorship and transfers supportedLocation and work modelSan Francisco, CA (Potrero Hill)On-site 5 days a week, plus Saturdays as neededFull-time","datePosted":"2026-11-04T09:21:31.560Z","dateModified":"2026-11-04T09:21:31.560Z","hiringOrganization":{"@type":"Organization","name":"Raydar","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dec4fe25cd1e86b3cdc6dcb0"},"url":"https://jobsearcher.com/jobs/dec4fe25cd1e86b3cdc6dcb0"}}