{"schemaVersion":"jobsearcher.job.v1","id":"ad24f42d7095d275b4b00bd2","url":"https://jobsearcher.com/jobs/ad24f42d7095d275b4b00bd2","canonicalUrl":"https://jobsearcher.com/jobs/ad24f42d7095d275b4b00bd2","title":"Research Engineer - Agents","description":"Optimized deploys AI agents into the most critical supply chains in the world: the operations of Fortune 500 manufacturers and government organizations. Getting a promising research idea to run reliably in those environments is its own hard problem, and we need a research engineer to own the path from prototype to production.\nAs a Research Engineer on agents, you'll work at the seam between research and engineering, building the training stack, evaluation harnesses, and inference and serving systems that move ideas from notebook to deployment. You'll turn fragile prototypes into production agent capabilities customers depend on, and turn production signals back into the next round of research.\nCompensation range for this role is $175,000 - $240,000 + equity.\nWhat you'll do Bridge research and production: You'll take promising research ideas and turn them into robust, production-ready agent capabilities customers depend on.\nBuild the training stack: You'll own the data pipelines, fine-tuning, and experiment infrastructure that let researchers iterate quickly.\nMake evaluation fast: You'll build the eval harnesses and tooling that measure whether a change actually improves agent quality.\nOptimize for production: You'll drive down latency and cost across model providers without sacrificing reliability.\nClose the loop: You'll turn production signals and failures back into the next round of research and improvement.\nWhat you'll bring Have 3+ years building production ML or AI systems, including owning models from prototype to deployment\nHave hands‑on experience with LLMs (fine‑tuning, retrieval‑augmented generation, and evaluation)\nAre fluent in Python and modern ML tooling (PyTorch, HuggingFace, or similar)\nAre rigorous about evaluation, and you measure before you optimize\nEnjoy working at the seam between research and engineering\nAre excited about applying AI to real‑world industrial problems, not just benchmarks\n\n#J-18808-Ljbffr","company":"Optimized","rawCompany":"optimized","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:59:49.123Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"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 - Agents","description":"Optimized deploys AI agents into the most critical supply chains in the world: the operations of Fortune 500 manufacturers and government organizations. Getting a promising research idea to run reliably in those environments is its own hard problem, and we need a research engineer to own the path from prototype to production.\nAs a Research Engineer on agents, you'll work at the seam between research and engineering, building the training stack, evaluation harnesses, and inference and serving systems that move ideas from notebook to deployment. You'll turn fragile prototypes into production agent capabilities customers depend on, and turn production signals back into the next round of research.\nCompensation range for this role is $175,000 - $240,000 + equity.\nWhat you'll do Bridge research and production: You'll take promising research ideas and turn them into robust, production-ready agent capabilities customers depend on.\nBuild the training stack: You'll own the data pipelines, fine-tuning, and experiment infrastructure that let researchers iterate quickly.\nMake evaluation fast: You'll build the eval harnesses and tooling that measure whether a change actually improves agent quality.\nOptimize for production: You'll drive down latency and cost across model providers without sacrificing reliability.\nClose the loop: You'll turn production signals and failures back into the next round of research and improvement.\nWhat you'll bring Have 3+ years building production ML or AI systems, including owning models from prototype to deployment\nHave hands‑on experience with LLMs (fine‑tuning, retrieval‑augmented generation, and evaluation)\nAre fluent in Python and modern ML tooling (PyTorch, HuggingFace, or similar)\nAre rigorous about evaluation, and you measure before you optimize\nEnjoy working at the seam between research and engineering\nAre excited about applying AI to real‑world industrial problems, not just benchmarks\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:59:49.123Z","dateModified":"2026-07-16T03:59:49.123Z","hiringOrganization":{"@type":"Organization","name":"Optimized","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ad24f42d7095d275b4b00bd2"},"url":"https://jobsearcher.com/jobs/ad24f42d7095d275b4b00bd2"}}