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Machine Learning Engineering Manager

Apple· Corporate Functions
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ShanghaiFull-timePosted 1w ago

About the role

Leads and mentors a team of machine learning engineers to design, implement, and operate analytical solutions with impact across Apple’s business operations. Focuses on real-time and batch decisioning systems for financial products, collaborating with data engineers and platform architects, and communicating complex technical concepts to business and engineering stakeholders.

Responsibilities

  • Lead and mentor a team of software developers and machine learning engineers
  • Design and maintain real-time automated decisioning systems and operations for financial products
  • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
  • Engage with business partners and understand their unique requirements and design technical solutions
  • Review the team's production code and logic for highly integrated systems
  • Distill and clearly communicate complex technical topics for both business and engineering stakeholders
  • Analyze data and tell meaningful stories to assist business partners

Qualifications

  • Experience leading a team of machine learning engineers
  • Practical experience training, deploying, and maintaining decisioning algorithms
  • Familiarity with distributed databases, data warehousing, and SQL
  • Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines
  • Ability to comprehend and debug complex system integrations spanning toolchains and teams
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns
  • Ability to think at a systems level to anticipate technical, business, and customer impact
  • Clear communication and presentation skills
  • Excellent problem solving skills, business acumen, and solution design mentality
  • Experience writing, reviewing, and deploying production software
  • Graduate degree in a quantitative field or equivalent professional experience
  • Experience in the following a plus: payments, finance, or financial risk

Skills

Required:Team leadershipDecisioning algorithmsDistributed databasesReal-time / batch ML applicationsSystems integrationData storytellingSystems thinkingCommunicationProduction softwareAdvanced degree
Nice to have:Payments / Finance / Financial risk

Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally.
  • Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
  • Accessibility is a fundamental human right reflected in culture, benefits, and tools.
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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