{"schemaVersion":"jobsearcher.job.v1","id":"c2e8f7d8b763e8f7db4cccf3","url":"https://jobsearcher.com/jobs/c2e8f7d8b763e8f7db4cccf3","canonicalUrl":"https://jobsearcher.com/jobs/c2e8f7d8b763e8f7db4cccf3","title":"Staff Machine Learning Engineer","description":"Staff Machine Learning Engineer, Frontier AI - HealthTech - San Francisco A Series C funded HealthTech company building real-time clinical intelligence to improve healthcare delivery and outcomes are looking for a Staff Machine Learning Engineer to join their team. What will I be doing:Leading frontier ML research across production AI systems (e.g. reasoning, long-context understanding, voice/agent workflows)Identifying model failure modes and driving architecture and training improvementsDesigning learning loops that turn real-world feedback into continuous model gainsImproving accuracy, latency, and cost through advanced optimization techniquesApplying cutting-edge research (RL, deep learning, LLMs) to real-world, high-stakes problemsWhat we’re looking for:5+ years in ML engineering or applied research with strong production impactDeep expertise in reinforcement learning and deep learningExperience taking models from research → productionStrong Python and deep learning framework experience (e.g. PyTorch)Proven ownership of end-to-end model improvementsBonus: publications, healthcare/regulated domain experienceWhat’s in it for me:Work on genuinely frontier AI problems in a real-world settingSalary of $200,000 - $300,000 dependent on experience plus strong equity upside in a scaling companyApply now for immediate consideration!","company":"Acceler8 Talent","rawCompany":"acceler8 talent","city":"Santa Rosa","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-04T03:14:57.874Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Machine Learning Engineer","description":"Staff Machine Learning Engineer, Frontier AI - HealthTech - San Francisco A Series C funded HealthTech company building real-time clinical intelligence to improve healthcare delivery and outcomes are looking for a Staff Machine Learning Engineer to join their team. What will I be doing:Leading frontier ML research across production AI systems (e.g. reasoning, long-context understanding, voice/agent workflows)Identifying model failure modes and driving architecture and training improvementsDesigning learning loops that turn real-world feedback into continuous model gainsImproving accuracy, latency, and cost through advanced optimization techniquesApplying cutting-edge research (RL, deep learning, LLMs) to real-world, high-stakes problemsWhat we’re looking for:5+ years in ML engineering or applied research with strong production impactDeep expertise in reinforcement learning and deep learningExperience taking models from research → productionStrong Python and deep learning framework experience (e.g. PyTorch)Proven ownership of end-to-end model improvementsBonus: publications, healthcare/regulated domain experienceWhat’s in it for me:Work on genuinely frontier AI problems in a real-world settingSalary of $200,000 - $300,000 dependent on experience plus strong equity upside in a scaling companyApply now for immediate consideration!","datePosted":"2026-05-04T03:14:57.874Z","dateModified":"2026-05-04T03:14:57.874Z","hiringOrganization":{"@type":"Organization","name":"Acceler8 Talent","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Rosa","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c2e8f7d8b763e8f7db4cccf3"},"url":"https://jobsearcher.com/jobs/c2e8f7d8b763e8f7db4cccf3"}}