{"schemaVersion":"jobsearcher.job.v1","id":"e33e73e9218981366aa870ea","url":"https://jobsearcher.com/jobs/e33e73e9218981366aa870ea","canonicalUrl":"https://jobsearcher.com/jobs/e33e73e9218981366aa870ea","title":"Research Systems Engineer","description":"WHO WE ARE\nWe build Specific Intelligence for the enterprise: agents that continuously learn from a company's processes, data, expertise, and goals. We're building the continual learning layer and platform that captures context, memory, and decision traces across the enterprise, providing an environment where specialized agents learn how to do real work.\n\nWhy we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning to create new product experiences. Our applied research engineers sit side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.\n\nOur Team : We are a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and other teams. We work with F50 customers, and we’re fortunate to be backed by Kleiner Perkins, Benchmark, Sequoia, Lux, Greenoaks, and others.\n\nWho Thrives Here : We're looking for people who are excited about applying novel research and complex systems to real-world problems. You should be comfortable navigating unfamiliar environments quickly, whether that's a new codebase, a new customer's data architecture, or a problem domain you've never seen before. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.\n\nTHE ROLE\nAs a research systems engineer, you'll train frontier-scale models and develop the methods that make continual learning work inside enterprise environments. You'll design and run experiments at scale, explore cutting-edge RL techniques, and build the tools that let us understand what's actually happening during training. This role sits at the intersection of research and systems. You'll invent new algorithms alongside researchers, then work with infrastructure engineers to run them on GPUs.\n\nWhat You'll Do\n\nPost-train frontier-scale language models on enterprise tasks and environments\n\nExplore and develop RL techniques, co-designing algorithms and systems\n\nContribute to Alchemy, our data research program for generating signal-rich training environments from production data\n\nBuild high-performance internal tools for probing, debugging, and analyzing training runs\n\nPartner with infrastructure engineers to scale training and inference efficiently\n\nWhat We're Looking For\n\nExperience training or serving large language models\n\nExperience building RL environments and evaluations for language models\n\nProficiency in PyTorch, JAX, or similar ML frameworks, with experience in distributed training\n\nStrong experimental design skills — you know how to set up experiments that actually answer questions\n\nStrong Candidates Also Have\n\nBackground in pre-training or post-training research\n\nPrevious experience in high-performance computing environments or large-scale clusters\n\nContributions to open-source ML research or infrastructure\n\nDemonstrated technical creativity through published research, OSS contributions, or side projects\n\nBENEFITS + LOGISTICS\nThis role is based in San Francisco. We work in-person at our office in the Design District.\n\nWe offer competitive compensation and equity, generous health benefits, unlimited PTO, paid parental leave, daily lunches and dinners, transportation, retirement plans, and relocation support. We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you.\n\nWe encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.\n\n#J-18808-Ljbffr","company":"Applied Compute","rawCompany":"applied compute","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-20T03:50:35.154Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Research Systems Engineer","description":"WHO WE ARE\nWe build Specific Intelligence for the enterprise: agents that continuously learn from a company's processes, data, expertise, and goals. We're building the continual learning layer and platform that captures context, memory, and decision traces across the enterprise, providing an environment where specialized agents learn how to do real work.\n\nWhy we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning to create new product experiences. Our applied research engineers sit side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.\n\nOur Team : We are a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and other teams. We work with F50 customers, and we’re fortunate to be backed by Kleiner Perkins, Benchmark, Sequoia, Lux, Greenoaks, and others.\n\nWho Thrives Here : We're looking for people who are excited about applying novel research and complex systems to real-world problems. You should be comfortable navigating unfamiliar environments quickly, whether that's a new codebase, a new customer's data architecture, or a problem domain you've never seen before. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.\n\nTHE ROLE\nAs a research systems engineer, you'll train frontier-scale models and develop the methods that make continual learning work inside enterprise environments. You'll design and run experiments at scale, explore cutting-edge RL techniques, and build the tools that let us understand what's actually happening during training. This role sits at the intersection of research and systems. You'll invent new algorithms alongside researchers, then work with infrastructure engineers to run them on GPUs.\n\nWhat You'll Do\n\nPost-train frontier-scale language models on enterprise tasks and environments\n\nExplore and develop RL techniques, co-designing algorithms and systems\n\nContribute to Alchemy, our data research program for generating signal-rich training environments from production data\n\nBuild high-performance internal tools for probing, debugging, and analyzing training runs\n\nPartner with infrastructure engineers to scale training and inference efficiently\n\nWhat We're Looking For\n\nExperience training or serving large language models\n\nExperience building RL environments and evaluations for language models\n\nProficiency in PyTorch, JAX, or similar ML frameworks, with experience in distributed training\n\nStrong experimental design skills — you know how to set up experiments that actually answer questions\n\nStrong Candidates Also Have\n\nBackground in pre-training or post-training research\n\nPrevious experience in high-performance computing environments or large-scale clusters\n\nContributions to open-source ML research or infrastructure\n\nDemonstrated technical creativity through published research, OSS contributions, or side projects\n\nBENEFITS + LOGISTICS\nThis role is based in San Francisco. We work in-person at our office in the Design District.\n\nWe offer competitive compensation and equity, generous health benefits, unlimited PTO, paid parental leave, daily lunches and dinners, transportation, retirement plans, and relocation support. We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you.\n\nWe encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:50:35.154Z","dateModified":"2026-06-20T03:50:35.154Z","hiringOrganization":{"@type":"Organization","name":"Applied Compute","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e33e73e9218981366aa870ea"},"url":"https://jobsearcher.com/jobs/e33e73e9218981366aa870ea"}}