{"schemaVersion":"jobsearcher.job.v1","id":"71a459868c27a79b2a24f527","url":"https://jobsearcher.com/jobs/71a459868c27a79b2a24f527","canonicalUrl":"https://jobsearcher.com/jobs/71a459868c27a79b2a24f527","title":"Machine Learning Engineer - Inference","description":"About Mindbeam\nWe are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level.\nMission\nDesign and build intuitive interfaces that connect researchers, developers, and enterprise clients to Mindbeam’s cutting-edge ML systems.\nRole Expectations\nDevelop user-facing APIs, SDKs, and tools that streamline access to Mindbeam’s AI infrastructure.\nPartner with research and product teams to translate complex ML workflows into clear, usable abstractions.\nOptimize interfaces for scalability, security, and performance.\nAdvocate for the developer experience by gathering feedback and iterating rapidly.\nCollaborate cross-functionally to ensure interfaces integrate seamlessly with enterprise environments.\nBackground\nBachelor’s or advanced degree in Computer Science, Engineering, or related field—or equivalent experience.\n2+ years of experience building developer tools, APIs, or ML/AI applications.\nStrong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX).\nFamiliarity with distributed systems, containers, and orchestration (Docker/Kubernetes).\nUnderstanding of security, compliance, and enterprise integration best practices.\nAbout You\nYou care deeply about usability and accessibility in AI. You thrive at simplifying complexity, and you’re energized by building bridges between research and real-world adoption.\nCompensation Range: $150K - $190K","company":"Mindbeam","rawCompany":"mindbeam","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:04:13.836Z","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":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"Machine Learning Engineer - Inference","description":"About Mindbeam\nWe are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level.\nMission\nDesign and build intuitive interfaces that connect researchers, developers, and enterprise clients to Mindbeam’s cutting-edge ML systems.\nRole Expectations\nDevelop user-facing APIs, SDKs, and tools that streamline access to Mindbeam’s AI infrastructure.\nPartner with research and product teams to translate complex ML workflows into clear, usable abstractions.\nOptimize interfaces for scalability, security, and performance.\nAdvocate for the developer experience by gathering feedback and iterating rapidly.\nCollaborate cross-functionally to ensure interfaces integrate seamlessly with enterprise environments.\nBackground\nBachelor’s or advanced degree in Computer Science, Engineering, or related field—or equivalent experience.\n2+ years of experience building developer tools, APIs, or ML/AI applications.\nStrong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX).\nFamiliarity with distributed systems, containers, and orchestration (Docker/Kubernetes).\nUnderstanding of security, compliance, and enterprise integration best practices.\nAbout You\nYou care deeply about usability and accessibility in AI. You thrive at simplifying complexity, and you’re energized by building bridges between research and real-world adoption.\nCompensation Range: $150K - $190K","datePosted":"2026-08-15T13:04:13.836Z","dateModified":"2026-08-15T13:04:13.836Z","hiringOrganization":{"@type":"Organization","name":"Mindbeam","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"71a459868c27a79b2a24f527"},"url":"https://jobsearcher.com/jobs/71a459868c27a79b2a24f527"}}