{"schemaVersion":"jobsearcher.job.v1","id":"b8a3bf49310933762cc3448b","url":"https://jobsearcher.com/jobs/b8a3bf49310933762cc3448b","canonicalUrl":"https://jobsearcher.com/jobs/b8a3bf49310933762cc3448b","title":"Manager, Software Engineering, Machine Learning","description":"Overview\nIn this leadership role you guide the AI Agent Platform & Expertise Graph initiative, shaping core AI-powered hiring and seeker experiences. You will build and mentor a high-performing team, set the technical roadmap, and drive scalable ML infrastructure. You’ll balance product impact with responsible AI, partnering with cross-functional teams to deliver innovative, end-to-end solutions. This greenfield bet aims to reshape how the world hires while aligning with LinkedIn’s mission and culture.\n\nCompensation / Benefitsgenerous health and wellness programstime away for employeesequitable compensation practicesannual performance bonusstock and/or other incentive plans\nResponsibilitiesLead and grow a high-performing team of researchers, applied scientists, and engineers; foster inclusive collaboration and leadership developmentTranslate product and business needs into a clear technical roadmap aligned with LinkedIn’s missionCollaborate with infrastructure and platform teams to optimize retrieval, serving, and model efficiency for scalable systemsDrive cross-functional alignment, proactively resolving misalignments with data-driven reasoningFoster experimentation, high-quality engineering and scientific practices, including A/B testing and rigorous evaluation\nKey requirementsBA/BS in Computer Science or related technical discipline1+ year of management experience or 1+ year of staff-level engineering with management training5+ years of software design, development, and algorithm-related experience1+ year of management or staff-level engineering experience with people managementHands-on experience in data modeling and machine learningPreferred: Master or PhD in CS, IR, ML, NLP; experience leading ML/LLM/retrieval systems; large-scale recommender systems; published work; 7+ years of industry experiencecollaborationdata-driven reasoningempathyMachine LearningLLMsRetrieval systems","company":"LinkedIn","rawCompany":"linkedin","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T05:13:51.585Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"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"}],"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":"Manager, Software Engineering, Machine Learning","description":"Overview\nIn this leadership role you guide the AI Agent Platform & Expertise Graph initiative, shaping core AI-powered hiring and seeker experiences. You will build and mentor a high-performing team, set the technical roadmap, and drive scalable ML infrastructure. You’ll balance product impact with responsible AI, partnering with cross-functional teams to deliver innovative, end-to-end solutions. This greenfield bet aims to reshape how the world hires while aligning with LinkedIn’s mission and culture.\n\nCompensation / Benefitsgenerous health and wellness programstime away for employeesequitable compensation practicesannual performance bonusstock and/or other incentive plans\nResponsibilitiesLead and grow a high-performing team of researchers, applied scientists, and engineers; foster inclusive collaboration and leadership developmentTranslate product and business needs into a clear technical roadmap aligned with LinkedIn’s missionCollaborate with infrastructure and platform teams to optimize retrieval, serving, and model efficiency for scalable systemsDrive cross-functional alignment, proactively resolving misalignments with data-driven reasoningFoster experimentation, high-quality engineering and scientific practices, including A/B testing and rigorous evaluation\nKey requirementsBA/BS in Computer Science or related technical discipline1+ year of management experience or 1+ year of staff-level engineering with management training5+ years of software design, development, and algorithm-related experience1+ year of management or staff-level engineering experience with people managementHands-on experience in data modeling and machine learningPreferred: Master or PhD in CS, IR, ML, NLP; experience leading ML/LLM/retrieval systems; large-scale recommender systems; published work; 7+ years of industry experiencecollaborationdata-driven reasoningempathyMachine LearningLLMsRetrieval systems","datePosted":"2026-09-15T05:13:51.585Z","dateModified":"2026-09-15T05:13:51.585Z","hiringOrganization":{"@type":"Organization","name":"LinkedIn","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b8a3bf49310933762cc3448b"},"url":"https://jobsearcher.com/jobs/b8a3bf49310933762cc3448b"}}