{"schemaVersion":"jobsearcher.job.v1","id":"1805ae930c351f1734b41e14","url":"https://jobsearcher.com/jobs/1805ae930c351f1734b41e14","canonicalUrl":"https://jobsearcher.com/jobs/1805ae930c351f1734b41e14","title":"AI Engineer Intern","description":"*About Makeable*\n\nMakeable is a San Francisco based company backed by Afore Capital. We are building tools that help people turn an idea into a real physical product. Our long term goal is a simple path from an idea to a 3D model, compatible parts, clear build instructions, code, manufacturing, and sharing.\n\nThe role\n\nThis is a paid, full time, 12 week internship for an AI Engineer who can also build product. You will work directly with the founders on the systems that turn a user prompt into an accurate, useful physical build experience.\n\nWhat you will do\n\nBuild AI systems that turn natural language requests into structured product and build information.\n\nBuild fast, reliable flows for 3D models, compatible parts, build instructions, code generation, and validation.\n\nBuild the web product around these systems, including user flows, backend services, and evaluation tools.\n\nImprove accuracy, speed, and reliability through testing, data, and direct user feedback.\n\nWork closely with hardware and product teammates to make the result useful for real people.\n\nWhat we are looking for\n\nStrong software engineering ability and experience shipping web products.\n\nHands on experience with AI applications, language models, agent workflows, or evaluation systems.\n\nComfort working across frontend, backend, and product details.\n\nGood judgment, clear communication, and a bias toward building and testing quickly.\n\nInterest in hardware, 3D tools, or physical products is a plus but not required.\n\nLocation and pay\n\nSan Francisco is preferred, with a hybrid working setup. We are open to candidates who can relocate to San Francisco and may consider remote candidates based in the United States or Singapore. Visa support may be considered. Pay is USD 19.61 to USD 20.20 per hour, based on 40 hours per week. Strong interns may be considered for a full time role after the internship, with compensation and equity discussed then.\n\nApplication\n\nTry makeable.build and tell us one thing you would improve, build, or test. Include links to work you have shipped or built.\n\nPay: $19.61 - $20.20 per hour\n\nExpected hours: 40.0 per week\n\nPeople with a criminal record are encouraged to apply\n\nWork Location: Hybrid remote in San Francisco, CA 94107","company":"Makeable","rawCompany":"makeable","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-09T09:57:12.542Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer Intern","description":"*About Makeable*\n\nMakeable is a San Francisco based company backed by Afore Capital. We are building tools that help people turn an idea into a real physical product. Our long term goal is a simple path from an idea to a 3D model, compatible parts, clear build instructions, code, manufacturing, and sharing.\n\nThe role\n\nThis is a paid, full time, 12 week internship for an AI Engineer who can also build product. You will work directly with the founders on the systems that turn a user prompt into an accurate, useful physical build experience.\n\nWhat you will do\n\nBuild AI systems that turn natural language requests into structured product and build information.\n\nBuild fast, reliable flows for 3D models, compatible parts, build instructions, code generation, and validation.\n\nBuild the web product around these systems, including user flows, backend services, and evaluation tools.\n\nImprove accuracy, speed, and reliability through testing, data, and direct user feedback.\n\nWork closely with hardware and product teammates to make the result useful for real people.\n\nWhat we are looking for\n\nStrong software engineering ability and experience shipping web products.\n\nHands on experience with AI applications, language models, agent workflows, or evaluation systems.\n\nComfort working across frontend, backend, and product details.\n\nGood judgment, clear communication, and a bias toward building and testing quickly.\n\nInterest in hardware, 3D tools, or physical products is a plus but not required.\n\nLocation and pay\n\nSan Francisco is preferred, with a hybrid working setup. We are open to candidates who can relocate to San Francisco and may consider remote candidates based in the United States or Singapore. Visa support may be considered. Pay is USD 19.61 to USD 20.20 per hour, based on 40 hours per week. Strong interns may be considered for a full time role after the internship, with compensation and equity discussed then.\n\nApplication\n\nTry makeable.build and tell us one thing you would improve, build, or test. Include links to work you have shipped or built.\n\nPay: $19.61 - $20.20 per hour\n\nExpected hours: 40.0 per week\n\nPeople with a criminal record are encouraged to apply\n\nWork Location: Hybrid remote in San Francisco, CA 94107","datePosted":"2026-09-09T09:57:12.542Z","dateModified":"2026-09-09T09:57:12.542Z","hiringOrganization":{"@type":"Organization","name":"Makeable","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1805ae930c351f1734b41e14"},"url":"https://jobsearcher.com/jobs/1805ae930c351f1734b41e14"}}