{"schemaVersion":"jobsearcher.job.v1","id":"9f50472c53bf935300c210f0","url":"https://jobsearcher.com/jobs/9f50472c53bf935300c210f0","canonicalUrl":"https://jobsearcher.com/jobs/9f50472c53bf935300c210f0","title":"Machine Learning Engineer, Distributed Data Systems - Robotics","description":"Machine Learning Engineer, Distributed Data Systems – Robotics\r\nLocation: San Francisco, CA. Hybrid work model of 3 days in office per week; relocation assistance offered.\r\nAbout the Team\r\nOur mission is to expand the capabilities of foundational models to support general-purpose robotics in dynamic, real-world environments, ensuring reliable and safe operation. These capabilities include action generation, motion planning, world modeling, and real-time communication through voice and emotions.\r\nWe work across the entire robotics stack, integrating cutting-edge hardware, sensors, end-effectors, and models to explore a diverse range of robotic form factors. Our goal is to develop models that provide state-of-the-art intelligence combined with seamless physical skills under the practical constraints of robotic platforms.\r\nAbout the Role\r\nAs a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You'll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles.\r\nWe're looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.\r\nIn this role, you will:\r\nDesign, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure while ensuring scalability, reliability, and security.\r\nEnsure our data platform can scale by orders of magnitude while remaining reliable and efficient.\r\nPartner with researchers to deeply understand requirements and translate them into production-ready systems.\r\nHarden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.\r\nYou might thrive in this role if you\r\nHave strong experience with distributed systems and large-scale infrastructure with a strong interest in data.\r\nAre detail-oriented and bring rigor to building and maintaining reliable systems.\r\nDemonstrate excellent software engineering fundamentals and organizational skills.\r\nAre comfortable with ambiguity and rapid change.\r\nCompensation\r\n$295K – $445K + Equity\r\nEqual Opportunity Employer\r\nOpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\r\nJ-18808-Ljbffr","company":"OpenAI","rawCompany":"openai","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:21:37.199Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer, Distributed Data Systems - Robotics","description":"Machine Learning Engineer, Distributed Data Systems – Robotics\r\nLocation: San Francisco, CA. Hybrid work model of 3 days in office per week; relocation assistance offered.\r\nAbout the Team\r\nOur mission is to expand the capabilities of foundational models to support general-purpose robotics in dynamic, real-world environments, ensuring reliable and safe operation. These capabilities include action generation, motion planning, world modeling, and real-time communication through voice and emotions.\r\nWe work across the entire robotics stack, integrating cutting-edge hardware, sensors, end-effectors, and models to explore a diverse range of robotic form factors. Our goal is to develop models that provide state-of-the-art intelligence combined with seamless physical skills under the practical constraints of robotic platforms.\r\nAbout the Role\r\nAs a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You'll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles.\r\nWe're looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.\r\nIn this role, you will:\r\nDesign, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure while ensuring scalability, reliability, and security.\r\nEnsure our data platform can scale by orders of magnitude while remaining reliable and efficient.\r\nPartner with researchers to deeply understand requirements and translate them into production-ready systems.\r\nHarden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.\r\nYou might thrive in this role if you\r\nHave strong experience with distributed systems and large-scale infrastructure with a strong interest in data.\r\nAre detail-oriented and bring rigor to building and maintaining reliable systems.\r\nDemonstrate excellent software engineering fundamentals and organizational skills.\r\nAre comfortable with ambiguity and rapid change.\r\nCompensation\r\n$295K – $445K + Equity\r\nEqual Opportunity Employer\r\nOpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:21:37.199Z","dateModified":"2026-06-25T01:21:37.199Z","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9f50472c53bf935300c210f0"},"url":"https://jobsearcher.com/jobs/9f50472c53bf935300c210f0"}}