{"schemaVersion":"jobsearcher.job.v1","id":"54dd074cd8e9ed84ae22d80c","url":"https://jobsearcher.com/jobs/54dd074cd8e9ed84ae22d80c","canonicalUrl":"https://jobsearcher.com/jobs/54dd074cd8e9ed84ae22d80c","title":"Software Engineer, Full Stack, Tinker","description":"Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.\nWe are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.\nAbout Tinker\nTinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.\nAbout the Role\nWe're looking for a full stack engineer to build and ship the products and services that Tinker users interact with every day. You'll work across frontend, backend, and infrastructure building the Tinker console, developer tools, and whatever Tinker needs most.\nWhat You’ll Do\nBuild and extend Tinker's APIs and backend services in Python and Rust, from job submission and orchestration to billing and usage tracking.\nShip user-facing product surfaces — console and future tools — with React and TypeScript.\nImprove the developer experience for Tinker users: SDK ergonomics, error messages, API design, onboarding flow.\nImprove system reliability, observability, and security across Tinker's production environment; participate in on-call.\nBuild internal tooling that accelerates the Tinker research and infrastructure teams.\nSkills and Qualifications\nMinimum qualifications:\nBachelor's degree or equivalent experience in computer science, engineering, or similar.\nProficiency in at least one backend language (we use Python and Rust).\nSome familiarity with React, TypeScript, or mobile platforms.\nThrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.\nA bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.\nPreferred qualifications — we encourage you to apply if you meet some but not all of these:\n4+ years building backend systems in production.\nExperience designing and maintaining backend APIs at scale, especially for developer-facing platforms.\nExperience building tooling or products for ML training, fine-tuning, or inference workloads.\nFamiliarity with distributed training infrastructure, job orchestration, and GPU scheduling.\nAbility to build high-quality, production-level UIs from prototype to polish.\nExperience with developer experience work — SDK design, CLI tooling, API ergonomics, documentation.\nLogistics\nLocation: This role is based in San Francisco, California.\nCompensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.\nVisa sponsorship: 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 visa process together.\nBenefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.\nAs set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.\nThinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.","company":"Thinking Machines","rawCompany":"thinking machines","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T17:12:42.001Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Full Stack, Tinker","description":"Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.\nWe are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.\nAbout Tinker\nTinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.\nAbout the Role\nWe're looking for a full stack engineer to build and ship the products and services that Tinker users interact with every day. You'll work across frontend, backend, and infrastructure building the Tinker console, developer tools, and whatever Tinker needs most.\nWhat You’ll Do\nBuild and extend Tinker's APIs and backend services in Python and Rust, from job submission and orchestration to billing and usage tracking.\nShip user-facing product surfaces — console and future tools — with React and TypeScript.\nImprove the developer experience for Tinker users: SDK ergonomics, error messages, API design, onboarding flow.\nImprove system reliability, observability, and security across Tinker's production environment; participate in on-call.\nBuild internal tooling that accelerates the Tinker research and infrastructure teams.\nSkills and Qualifications\nMinimum qualifications:\nBachelor's degree or equivalent experience in computer science, engineering, or similar.\nProficiency in at least one backend language (we use Python and Rust).\nSome familiarity with React, TypeScript, or mobile platforms.\nThrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.\nA bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.\nPreferred qualifications — we encourage you to apply if you meet some but not all of these:\n4+ years building backend systems in production.\nExperience designing and maintaining backend APIs at scale, especially for developer-facing platforms.\nExperience building tooling or products for ML training, fine-tuning, or inference workloads.\nFamiliarity with distributed training infrastructure, job orchestration, and GPU scheduling.\nAbility to build high-quality, production-level UIs from prototype to polish.\nExperience with developer experience work — SDK design, CLI tooling, API ergonomics, documentation.\nLogistics\nLocation: This role is based in San Francisco, California.\nCompensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.\nVisa sponsorship: 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 visa process together.\nBenefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.\nAs set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.\nThinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.","datePosted":"2026-08-03T17:12:42.001Z","dateModified":"2026-08-03T17:12:42.001Z","hiringOrganization":{"@type":"Organization","name":"Thinking Machines","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"54dd074cd8e9ed84ae22d80c"},"url":"https://jobsearcher.com/jobs/54dd074cd8e9ed84ae22d80c"}}