{"schemaVersion":"jobsearcher.job.v1","id":"89dc3786a7af2e4b52e7231b","url":"https://jobsearcher.com/jobs/89dc3786a7af2e4b52e7231b","canonicalUrl":"https://jobsearcher.com/jobs/89dc3786a7af2e4b52e7231b","title":"Research Engineer","description":"General Analysis is a security research lab focused on adversarial simulations, evaluations, and runtime protection.\nWe are based in San Francisco and work across research, engineering, and product.\nAbout the role As a Research Engineer, you will be responsible for post-training models for adversarial capabilities using reinforcement learning.\nYou will work with the entire training pipeline from data generation and environment design to evaluations.\nYou will tackle engineering challenges involving distributed systems, innovate new methods for data-constrained and low signal-to-noise environments, and make algorithmic improvements for applying trained models for adversarial simulations.\nYou may be a good fit if You are comfortable with PyTorch, RL infrastructure, post-training infrastructure, or tools such as Tinker and verl.\nYou have academic and/or industry experience with reinforcement learning or machine learning research, or are eager to learn.\nYou have publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or similar.\nYou have security experience, or are excited to build it here.\nYou have a high level of agency, strong technical acumen, and clarity of thought.\nYou'll thrive here if You are excited about applying novel research and new technology to real-world problems.\nYou are excited to learn new domains and build deep context in AI security.\nYou are results-oriented and can balance deep exploration with practical implementation.\nYou proactively step outside defined boundaries to support the team's mission and unblock others.\n\n#J-18808-Ljbffr","company":"General Analysis","rawCompany":"general analysis","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-20T03:35:57.845Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541720","title":"Research and Development in the Social Sciences and 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infrastructure, or tools such as Tinker and verl.\nYou have academic and/or industry experience with reinforcement learning or machine learning research, or are eager to learn.\nYou have publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or similar.\nYou have security experience, or are excited to build it here.\nYou have a high level of agency, strong technical acumen, and clarity of thought.\nYou'll thrive here if You are excited about applying novel research and new technology to real-world problems.\nYou are excited to learn new domains and build deep context in AI security.\nYou are results-oriented and can balance deep exploration with practical implementation.\nYou proactively step outside defined boundaries to support the team's mission and unblock others.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:35:57.845Z","dateModified":"2026-06-20T03:35:57.845Z","hiringOrganization":{"@type":"Organization","name":"General 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