{"schemaVersion":"jobsearcher.job.v1","id":"0149a92e033d117ecbc3ee90","url":"https://jobsearcher.com/jobs/0149a92e033d117ecbc3ee90","canonicalUrl":"https://jobsearcher.com/jobs/0149a92e033d117ecbc3ee90","title":"Senior Machine Learning Engineer - Training Flywheel","description":"About the JobWe're partnered with a VC-backed start-up, founded by engineering leaders from Lyft & Google, that has raised $100M to become the category leader in multi-domain autonomy across air, land and sea. They have secured both defense and commercial contracts to deploy autonomous solutions at scale.RoleAs part of their growth plans they're looking to hire a Senior Machine Learning (Training Flywheel) Engineer to build their closed-loop training flywheel; turning raw fleet data into continuously improving models. The role will give you end-to-end ownership; covering data design ? auto-annotation ? training ? evaluation ? deployment pipelines. As well as implementing cutting edge VLM algorithms for auto-labeling & active learning loops.What You'll Be Doing:Design the data ? auto-annotation ? training ? evaluation ? deployment loopBuild scalable data ingestion and curation pipelines.Implement auto-labeling using VLMs and heuristics.Define evaluation protocols that correlate with on-ground performance.Drive active learning: select the right data.Integrate tightly with MLOps for continuous deployment.The Ideal Candidate Would Have: Expertise with robotics/multi-modal data0 (camera, LiDAR, radar). Experience shipping perception or ML systems into productionAuto-annotation techniques like VLM-based labeling.Large-scale data pipelines (Parquet, Arrow, object storage).Salary: $180k-$250k Location: Palo Alto, CA | Onsite (5 days)This role will allow you to work on real-world deployed autonomy systems and own a critical layer of the ML stack for the forefront of AI + robotics!","company":"Metric","rawCompany":"metric","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-16T04:48:49.664Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer - Training Flywheel","description":"About the JobWe're partnered with a VC-backed start-up, founded by engineering leaders from Lyft & Google, that has raised $100M to become the category leader in multi-domain autonomy across air, land and sea. They have secured both defense and commercial contracts to deploy autonomous solutions at scale.RoleAs part of their growth plans they're looking to hire a Senior Machine Learning (Training Flywheel) Engineer to build their closed-loop training flywheel; turning raw fleet data into continuously improving models. The role will give you end-to-end ownership; covering data design ? auto-annotation ? training ? evaluation ? deployment pipelines. As well as implementing cutting edge VLM algorithms for auto-labeling & active learning loops.What You'll Be Doing:Design the data ? auto-annotation ? training ? evaluation ? deployment loopBuild scalable data ingestion and curation pipelines.Implement auto-labeling using VLMs and heuristics.Define evaluation protocols that correlate with on-ground performance.Drive active learning: select the right data.Integrate tightly with MLOps for continuous deployment.The Ideal Candidate Would Have: Expertise with robotics/multi-modal data0 (camera, LiDAR, radar). Experience shipping perception or ML systems into productionAuto-annotation techniques like VLM-based labeling.Large-scale data pipelines (Parquet, Arrow, object storage).Salary: $180k-$250k Location: Palo Alto, CA | Onsite (5 days)This role will allow you to work on real-world deployed autonomy systems and own a critical layer of the ML stack for the forefront of AI + robotics!","datePosted":"2026-04-16T04:48:49.664Z","dateModified":"2026-04-16T04:48:49.664Z","hiringOrganization":{"@type":"Organization","name":"Metric","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0149a92e033d117ecbc3ee90"},"url":"https://jobsearcher.com/jobs/0149a92e033d117ecbc3ee90"}}