{"schemaVersion":"jobsearcher.job.v1","id":"63a8a8783bacf552185e8608","url":"https://jobsearcher.com/jobs/63a8a8783bacf552185e8608","canonicalUrl":"https://jobsearcher.com/jobs/63a8a8783bacf552185e8608","title":"Forward Deployed Engineer","description":"Overview\nThis role sits at the intersection of ML engineering and customer partnership. You will be the person who makes it real for our lab partners, going on-site to their offices, understanding their models deeply, and doing whatever it takes to get them running at production quality on Reactor's infrastructure. This is not a support role; you will be making critical technical and product decisions and working directly with the founders, and will be one of the first people to define what forward deployment looks like at Reactor.\n\nDepartment: Engineering\n\nLocation: San Francisco\n\nWhat You'll Do\n\nTravel to top world model labs, integrate their models onto Reactor's infrastructure, and own the deployment end to end\n\nProfile and optimize model performance to hit the latency and throughput targets that make real-time interactive video feel real\n\nBe the voice of the lab partner inside Reactor and make product decisions that directly shape what we build next\n\nWho You Are\n\n3+ years in ML engineering or a technical role working directly with external teams\n\nComfortable reading and writing Python at a production level and tracing through inference pipelines to find and fix bottlenecks\n\nStrong knowledge of PyTorch and modern ML inference optimization techniques\n\nComfortable with ambiguity, travel, and getting on a plane to unblock a partner\n\nNice to Have\n\nExperience with diffusion models, video generation, or world models\n\nFamiliarity with real-time streaming systems\n\nCUDA kernel optimization, TensorRT, or custom inference frameworks\n\nExisting relationships in the generative video or foundation model ecosystem\n\nBenefits\n\nCompetitive SF salary and meaningful early equity\n\nVisa sponsorship and relocation support\n\nGenerous health, dental, and vision coverage\n\nTravel covered for on-site integrations\n\n#J-18808-Ljbffr","company":"Reactoram","rawCompany":"reactoram","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:29:31.349Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"Overview\nThis role sits at the intersection of ML engineering and customer partnership. You will be the person who makes it real for our lab partners, going on-site to their offices, understanding their models deeply, and doing whatever it takes to get them running at production quality on Reactor's infrastructure. This is not a support role; you will be making critical technical and product decisions and working directly with the founders, and will be one of the first people to define what forward deployment looks like at Reactor.\n\nDepartment: Engineering\n\nLocation: San Francisco\n\nWhat You'll Do\n\nTravel to top world model labs, integrate their models onto Reactor's infrastructure, and own the deployment end to end\n\nProfile and optimize model performance to hit the latency and throughput targets that make real-time interactive video feel real\n\nBe the voice of the lab partner inside Reactor and make product decisions that directly shape what we build next\n\nWho You Are\n\n3+ years in ML engineering or a technical role working directly with external teams\n\nComfortable reading and writing Python at a production level and tracing through inference pipelines to find and fix bottlenecks\n\nStrong knowledge of PyTorch and modern ML inference optimization techniques\n\nComfortable with ambiguity, travel, and getting on a plane to unblock a partner\n\nNice to Have\n\nExperience with diffusion models, video generation, or world models\n\nFamiliarity with real-time streaming systems\n\nCUDA kernel optimization, TensorRT, or custom inference frameworks\n\nExisting relationships in the generative video or foundation model ecosystem\n\nBenefits\n\nCompetitive SF salary and meaningful early equity\n\nVisa sponsorship and relocation support\n\nGenerous health, dental, and vision coverage\n\nTravel covered for on-site integrations\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:29:31.349Z","dateModified":"2026-07-16T03:29:31.349Z","hiringOrganization":{"@type":"Organization","name":"Reactoram","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"63a8a8783bacf552185e8608"},"url":"https://jobsearcher.com/jobs/63a8a8783bacf552185e8608"}}