{"schemaVersion":"jobsearcher.job.v1","id":"7ca74ddc91d4b8d8e0365348","url":"https://jobsearcher.com/jobs/7ca74ddc91d4b8d8e0365348","canonicalUrl":"https://jobsearcher.com/jobs/7ca74ddc91d4b8d8e0365348","title":"Principal Machine Learning Engineer, Data Mining","description":"Overview\nAs a Machine Learning Engineer on Motional’s Data Mining team, you build ML-powered tools to uncover rare driving scenarios in multimodal data. You’ll work with state-of-the-art models to enable efficient data search, active learning, and dataset curation at scale. Your work helps improve model lifecycles, diagnostics, and production dashboards for real-time feedback. Join a mission-driven team shaping safer, more reliable autonomous driving through smarter data mining.\n\nCompensation / Benefitsmedical, dental, vision401k with company matchhealth savings accountlife insurancepet insurancewellness programs\nResponsibilitiesDevelop, train, and fine-tune multimodal ML models (vision, LiDAR) using supervised and self-supervised approachesBuild scalable data preprocessing and augmentation pipelines; optimize model deployment with batch inference and quantizationCreate embedding-based search tools and active learning workflows for identifying critical driving scenariosMonitor production performance with dashboards; detect regressions and support data mining servicesAdhere to software engineering standards (version control, CI/CD, unit testing); contribute to documentation and code reviewsCollaborate with senior engineers to translate prototypes into maintainable engineering solutions\nKey requirementsBS or MS in CS, ML, or related fieldHands-on experience with PyTorch (preferred) or TensorFlow/JAXProficiency in Python with clean, modular codeExperience with version control, unit testing, and software design patternsExperience with large datasets; proficient in SQL and data libraries (Pandas, NumPy)Strong understanding of the ML lifecycle from data cleaning to deploymentProactive learner with ability to grow in a high-stakes engineering environmentproactive learnercollaborative mindsetopen to feedback and iterative improvementPyTorch (preferred) or TensorFlow/JAXPython programmingSQL and data libraries (Pandas, NumPy)","company":"Motional","rawCompany":"motional","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:58:01.781Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal Machine Learning Engineer, Data Mining","description":"Overview\nAs a Machine Learning Engineer on Motional’s Data Mining team, you build ML-powered tools to uncover rare driving scenarios in multimodal data. You’ll work with state-of-the-art models to enable efficient data search, active learning, and dataset curation at scale. Your work helps improve model lifecycles, diagnostics, and production dashboards for real-time feedback. Join a mission-driven team shaping safer, more reliable autonomous driving through smarter data mining.\n\nCompensation / Benefitsmedical, dental, vision401k with company matchhealth savings accountlife insurancepet insurancewellness programs\nResponsibilitiesDevelop, train, and fine-tune multimodal ML models (vision, LiDAR) using supervised and self-supervised approachesBuild scalable data preprocessing and augmentation pipelines; optimize model deployment with batch inference and quantizationCreate embedding-based search tools and active learning workflows for identifying critical driving scenariosMonitor production performance with dashboards; detect regressions and support data mining servicesAdhere to software engineering standards (version control, CI/CD, unit testing); contribute to documentation and code reviewsCollaborate with senior engineers to translate prototypes into maintainable engineering solutions\nKey requirementsBS or MS in CS, ML, or related fieldHands-on experience with PyTorch (preferred) or TensorFlow/JAXProficiency in Python with clean, modular codeExperience with version control, unit testing, and software design patternsExperience with large datasets; proficient in SQL and data libraries (Pandas, NumPy)Strong understanding of the ML lifecycle from data cleaning to deploymentProactive learner with ability to grow in a high-stakes engineering environmentproactive learnercollaborative mindsetopen to feedback and iterative improvementPyTorch (preferred) or TensorFlow/JAXPython programmingSQL and data libraries (Pandas, NumPy)","datePosted":"2026-09-15T03:58:01.781Z","dateModified":"2026-09-15T03:58:01.781Z","hiringOrganization":{"@type":"Organization","name":"Motional","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7ca74ddc91d4b8d8e0365348"},"url":"https://jobsearcher.com/jobs/7ca74ddc91d4b8d8e0365348"}}