{"schemaVersion":"jobsearcher.job.v1","id":"edd9c0593da60e9da43553a4","url":"https://jobsearcher.com/jobs/edd9c0593da60e9da43553a4","canonicalUrl":"https://jobsearcher.com/jobs/edd9c0593da60e9da43553a4","title":"Director, ML Engineering","description":"For our client, we are seeking a Director ML Engineering to join the team of a leader in the Consumer Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment.Location: San Francisco, CA - US based candidates only, no visa sponsorship availableCompensation: $265,700 – $384,675 annuallyResponsibilities Define and implement the technical strategy for enterprise-scale ML services Lead multi-team engineering organization and scale up talent acquisition as needed Establish engineering operating models for custom generative models across various media Own production SLAs and analytics for model pipelines to ensure quality and reliability Drive partnerships with GPU vendors and hyperscalers to support service capacityQualifications 10+ years in applied machine learning and ML systems, with 5+ years leading engineering organizations Demonstrated success in shipping generative AI products at enterprise scale Proven ability to collaborate with VP-level partners across multiple domains Experience building engineering talent and developing leaders within teams Deep understanding of generative model architectures and large-scale inference economicsBenefits Opportunities for professional growth and leadership development Collaboration with top-tier talent in a rapidly evolving tech landscape Access to cutting-edge technology and resources for innovation Impactful work in a dynamic environment serving enterprise customersOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","company":"Ladders","rawCompany":"ladders","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-01T10:37:43.226Z","occupations":[{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"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":"Director, ML Engineering","description":"For our client, we are seeking a Director ML Engineering to join the team of a leader in the Consumer Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment.Location: San Francisco, CA - US based candidates only, no visa sponsorship availableCompensation: $265,700 – $384,675 annuallyResponsibilities Define and implement the technical strategy for enterprise-scale ML services Lead multi-team engineering organization and scale up talent acquisition as needed Establish engineering operating models for custom generative models across various media Own production SLAs and analytics for model pipelines to ensure quality and reliability Drive partnerships with GPU vendors and hyperscalers to support service capacityQualifications 10+ years in applied machine learning and ML systems, with 5+ years leading engineering organizations Demonstrated success in shipping generative AI products at enterprise scale Proven ability to collaborate with VP-level partners across multiple domains Experience building engineering talent and developing leaders within teams Deep understanding of generative model architectures and large-scale inference economicsBenefits Opportunities for professional growth and leadership development Collaboration with top-tier talent in a rapidly evolving tech landscape Access to cutting-edge technology and resources for innovation Impactful work in a dynamic environment serving enterprise customersOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","datePosted":"2026-07-01T10:37:43.226Z","dateModified":"2026-07-01T10:37:43.226Z","hiringOrganization":{"@type":"Organization","name":"Ladders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"edd9c0593da60e9da43553a4"},"url":"https://jobsearcher.com/jobs/edd9c0593da60e9da43553a4"}}