{"schemaVersion":"jobsearcher.job.v1","id":"3147c382c4571ae17da8d2a4","url":"https://jobsearcher.com/jobs/3147c382c4571ae17da8d2a4","canonicalUrl":"https://jobsearcher.com/jobs/3147c382c4571ae17da8d2a4","title":"Machine Learning Engineer","description":"Machine Learning EngineerGoodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AInot by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.\r\nWe're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicapwe have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.\r\nGoodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.\r\nAbout the roleWe're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs.\r\nWhere you might contribute:\r\nInterpretability tools Building the tools and infrastructure to support understanding and intentional design of models at industry scale.\r\nTraining infrastructure Extending and supporting our training infrastructure for large training runs.\r\nProduct Turning state of the art interpretability research into robust, usable product features.\r\nWe'll work with you to determine the team that best aligns with your strengths.\r\nKey responsibilities:\r\nTurn cutting edge interpretability research into production ready tools.\r\nOptimize pipelines and infrastructure for frontier model interpretability, training, and inference.\r\nIntegrate new machine learning workflows and pipelines into our product and deploy to customers.\r\nEnsure system reliability, reproducibility, and performance.\r\nRequired experience5+ years of experience in ML infra, research engineering, or systems programming.\r\nComfort working across research and engineering boundaries.\r\nExpertise in Python, PyTorch or Jax, and distributed systems.\r\nExperience deploying and maintaining ML systems at scale.\r\nYou care about understanding how models work internally and using that to make them more reliable and useful in the real world.\r\nPreferred qualificationsOpen-source ML infra contributions.\r\nStartup or frontier lab experience in fast-moving teams.\r\nOur valuesGoodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.\r\nPut mission and team first\r\nAll we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.\r\nImprove constantly\r\nWe are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.\r\nTake ownership and initiative\r\nThere are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we're building.\r\nAction today\r\nWe have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.\r\nWhere we workWe are hiring for this position in both our San Francisco HQ and our New York office. We are in person 5 days a week, with one company-wide remote week per month.\r\nWhat we offerThis role offers market competitive salary, equity, and competitive benefits.\r\nThe expected salary range for this position is $200,000 - $400,000 USD\r\nMost importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now.","company":"Goodfire","rawCompany":"goodfire","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:06:03.624Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Machine Learning EngineerGoodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AInot by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.\r\nWe're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicapwe have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.\r\nGoodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.\r\nAbout the roleWe're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs.\r\nWhere you might contribute:\r\nInterpretability tools Building the tools and infrastructure to support understanding and intentional design of models at industry scale.\r\nTraining infrastructure Extending and supporting our training infrastructure for large training runs.\r\nProduct Turning state of the art interpretability research into robust, usable product features.\r\nWe'll work with you to determine the team that best aligns with your strengths.\r\nKey responsibilities:\r\nTurn cutting edge interpretability research into production ready tools.\r\nOptimize pipelines and infrastructure for frontier model interpretability, training, and inference.\r\nIntegrate new machine learning workflows and pipelines into our product and deploy to customers.\r\nEnsure system reliability, reproducibility, and performance.\r\nRequired experience5+ years of experience in ML infra, research engineering, or systems programming.\r\nComfort working across research and engineering boundaries.\r\nExpertise in Python, PyTorch or Jax, and distributed systems.\r\nExperience deploying and maintaining ML systems at scale.\r\nYou care about understanding how models work internally and using that to make them more reliable and useful in the real world.\r\nPreferred qualificationsOpen-source ML infra contributions.\r\nStartup or frontier lab experience in fast-moving teams.\r\nOur valuesGoodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.\r\nPut mission and team first\r\nAll we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.\r\nImprove constantly\r\nWe are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.\r\nTake ownership and initiative\r\nThere are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we're building.\r\nAction today\r\nWe have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.\r\nWhere we workWe are hiring for this position in both our San Francisco HQ and our New York office. We are in person 5 days a week, with one company-wide remote week per month.\r\nWhat we offerThis role offers market competitive salary, equity, and competitive benefits.\r\nThe expected salary range for this position is $200,000 - $400,000 USD\r\nMost importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now.","datePosted":"2026-04-09T08:06:03.624Z","dateModified":"2026-04-09T08:06:03.624Z","hiringOrganization":{"@type":"Organization","name":"Goodfire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3147c382c4571ae17da8d2a4"},"url":"https://jobsearcher.com/jobs/3147c382c4571ae17da8d2a4"}}