{"id":3965080,"url":"https://alion.io/job/apple-engineering-program-manager-machine-learning-features","title":"Engineering Program Manager – Machine Learning Features","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":89,"open_postings":835,"ghost_share":0,"stale_share":0.217,"repost_share":0.006,"time_to_fill_p50_days":90,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herzliya, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"CI/CD","optional":true},{"name":"Edge AI","optional":true},{"name":"Speech Recognition","optional":true}],"status":"live","first_seen_at":"2026-11-09T12:51:54Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T13:38:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Play a part in shaping the future of human-computer interaction. We're looking for an Engineering Program Manager (EPM) to turn advanced machine learning in speech, audio and computer vision into features that ship to customers.\nYou'll work across ML research, data collection, silicon, FW, and the device and companion SW teams that bring these features to Apple customers.Your work will cover every stage, from the first dataset to the final release.\nDescription\nYou'll own the plan for taking ML features from research to release. That covers data planning, model training and evaluation, optimization for Apple silicon, integration with SW teams, and release. You'll keep teams aligned, make risk visible early, and help leadership decide when model quality, performance and schedule pull in different directions. You'll be comfortable with how uncertain research is, and disciplined about delivering what ships.\nMinimum Qualifications\nB.Sc. in Computer Science, Electrical Engineering, or a related STEM field\n8+ years of relevant experience, including significant engineering program management experience in SW or ML development\nHands-on background as an ML engineer, researcher or data scientist\nSW Experience working with data teams to define data strategy and plans for ML programs, with a clear understanding of how data drives model quality\nSolid understanding of the ML lifecycle, with the technical depth to engage credibly with researchers and engineers\nExperience with HW NPI cycles (prototype builds, pre-silicon validation)\nUsing AI tools in daily work to improve productivity\nExcellent communication skills, including summarizing complex status for executive audiences\nExperience leading through influence in a matrixed, multinational environment\nPreferred Qualifications\nM.Sc. or Ph.D. in a related field\nExperience with speech, audio or computer vision ML (e.g., ASR, voice isolation, video restoration)\nFamiliarity with large-scale data collection and annotation practices, including privacy considerations\nExperience with on-device ML and optimization for dedicated HW or neural engines\nFamiliarity with MLOps practices: data pipelines, distributed GPU training, CI/CD for models\nExperience with platform SW release processes and working with US-based teams\nComfortable with ambiguity, using AI tools in daily work, and calm under pressure","description_format":"text","description_chars":2362,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & 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