{"schemaVersion":"jobsearcher.job.v1","id":"efc57c1b8b2b59ff6ff21dfd","url":"https://jobsearcher.com/jobs/efc57c1b8b2b59ff6ff21dfd","canonicalUrl":"https://jobsearcher.com/jobs/efc57c1b8b2b59ff6ff21dfd","title":"Research Engineer","description":"Machine Learning Research Engineer – Research\r\nReady to operate at thecutting edge of applied AI research and molecular simulation ? This role is perfect for individuals who excel at both scientific rigor and engineering excellence, building architectures and prototypes that push the boundaries of molecular modeling.\r\nThe Employer\r\nJoin an organization creating the next generation ofAI-driven drug discovery platforms , integrating advanced machine learning with biological and chemical sciences. With world-class peers, abundant resources, and a mission-driven culture, this is where ambitious engineers shape the future.\r\nQualifications & Experience\r\nStrong foundation in software engineering for ML research.\r\nHands-on experience withPyTorch ,JAX , and HPC environments.\r\nAble to design scalable research pipelines and write production-ready code.\r\nDeep scientific engagement through a PhD or equivalent experience.\r\nResponsibilities\r\nIn this role, you will:\r\nRun and analyze experiments to advance next-gen foundation models.\r\nArchitect reproducible pipelines for training and evaluation.\r\nImplement cutting-edge architectures from literature and internal research.\r\nPrepare manuscripts, open datasets, and software libraries for release.\r\nSkills / Technical Competencies\r\nLarge-scale distributed training systems.\r\nReproducible research methodology and code quality.\r\nUnderstanding of modern ML stacks and evaluation metrics.\r\nNice to Haves\r\nExpertise inequivariant models , geometric deep learning, GNNs, or diffusion models.\r\nContributions to open-source scientific or ML projects.\r\nThishybrid roleis based inSan Francisco (preferred)orNew York , with regular travel for collaboration and events.","company":"Next Phase Recruitment","rawCompany":"next phase recruitment","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-10T01:30:49.275Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"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":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Engineer","description":"Machine Learning Research Engineer – Research\r\nReady to operate at thecutting edge of applied AI research and molecular simulation ? This role is perfect for individuals who excel at both scientific rigor and engineering excellence, building architectures and prototypes that push the boundaries of molecular modeling.\r\nThe Employer\r\nJoin an organization creating the next generation ofAI-driven drug discovery platforms , integrating advanced machine learning with biological and chemical sciences. With world-class peers, abundant resources, and a mission-driven culture, this is where ambitious engineers shape the future.\r\nQualifications & Experience\r\nStrong foundation in software engineering for ML research.\r\nHands-on experience withPyTorch ,JAX , and HPC environments.\r\nAble to design scalable research pipelines and write production-ready code.\r\nDeep scientific engagement through a PhD or equivalent experience.\r\nResponsibilities\r\nIn this role, you will:\r\nRun and analyze experiments to advance next-gen foundation models.\r\nArchitect reproducible pipelines for training and evaluation.\r\nImplement cutting-edge architectures from literature and internal research.\r\nPrepare manuscripts, open datasets, and software libraries for release.\r\nSkills / Technical Competencies\r\nLarge-scale distributed training systems.\r\nReproducible research methodology and code quality.\r\nUnderstanding of modern ML stacks and evaluation metrics.\r\nNice to Haves\r\nExpertise inequivariant models , geometric deep learning, GNNs, or diffusion models.\r\nContributions to open-source scientific or ML projects.\r\nThishybrid roleis based inSan Francisco (preferred)orNew York , with regular travel for collaboration and events.","datePosted":"2026-05-10T01:30:49.275Z","dateModified":"2026-05-10T01:30:49.275Z","hiringOrganization":{"@type":"Organization","name":"Next Phase Recruitment","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"efc57c1b8b2b59ff6ff21dfd"},"url":"https://jobsearcher.com/jobs/efc57c1b8b2b59ff6ff21dfd"}}