{"id":2510166,"url":"https://alion.io/job/apple-machine-learning-engineering-manager","title":"Machine Learning Engineering Manager","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":"B","score":77,"open_postings":1008,"ghost_share":0,"stale_share":0.938,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":160000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1858},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T03:31:56Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T17:44:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of data scientists that craft, implement, and operate analytical solutions with direct and measurable impact to Apple and its customers.\nYou will build and lead a team of SDS machine learning engineers, who employ machine learning, statistical analysis techniques, and system design to build end-to-end solutions across Apple's business operations.\nYou will engage with a large and talented cross-functional team as we work to build out our data-driven programs. Apple's dedication to customer privacy, the adversarial nature of risk, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of integrating existing machine learning methods with engineering and business process to deliver tangible value.\nDescription\nLead and mentor a team of software developers and machine learning engineers\nDesign and maintain real-time automated decisioning systems and operations for financial products\nCollaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions\nEngage with business partners and understand their unique requirements and design technical solutions\nReview the team's production code and logic for highly integrated systems\nDistill and clearly communicate complex technical topics for both business and engineering stakeholders\nAnalyze data and tell meaningful stories to assist business partners\nMinimum Qualifications\n(DO NOT POST AND WILL UPDATE)\nExperience leading a team of machine learning engineers\nPractical experience training, deploying, and maintaining decisioning algorithms\nFamiliarity with distributed databases, data warehousing, and SQL\nAbility to implement custom real-time or batch machine learning applications with their appropriate data pipelines\nAbility to comprehend and debug complex system integrations spanning toolchains and teams\nAbility to extract meaningful business insights from data and identify the stories behind the patterns\nAbility to think at a systems level to anticipate technical, business, and customer impact\nClear communication and presentation skills\nExcellent problem solving skills, business acumen, and solution design mentality\nExperience writing, reviewing, and deploying production software\nGraduate degree in a quantitative field or equivalent professional experience\nExperience in the following a plus: payments, finance, or financial risk\nPreferred Qualifications\n(DO NOT POST AND WILL UPDATE)\nExperience leading a team of machine learning engineers\nPractical experience training, deploying, and maintaining decisioning algorithms\nFamiliarity with distributed databases, data warehousing, and SQL\nAbility to implement custom real-time or batch machine learning applications with their appropriate data pipelines\nAbility to comprehend and debug complex system integrations spanning toolchains and teams\nAbility to extract meaningful business insights from data and identify the stories behind the patterns\nAbility to think at a systems level to anticipate technical, business, and customer impact\nClear communication and presentation skills\nExcellent problem solving skills, business acumen, and solution design mentality\nExperience writing, reviewing, and deploying production software\nGraduate degree in a quantitative field or equivalent professional experience\nExperience in the following a plus: payments, finance, or financial 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