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Senior Machine Learning Engineer, Developer Product Analytics

Apple· Software and Services
Apply on company site
Cupertino, CAfull-timePosted 3mo ago

About the role

Senior ML Engineer for Developer Product Analytics within Apple Services Engineering. Focus on end-to-end ML solutions for content-partner analytics tooling, experimentation, privacy-preserving analytics, and charting systems at Apple scale. Require experience shipping production ML solutions and translating research into features used by partners and users globally.

Responsibilities

  • Work with product managers, cross-functional engineering teams, and business partners across time zones to identify high-impact opportunities.
  • Own the full scientific product lifecycle: problem framing, data exploration, algorithm design, model training, and production deployment.
  • Take 0-to-1 features end-to-end, from problem framing through production deployment.
  • Ship your work as features used by content partners, businesses, and users globally.
  • Build conviction with senior product and engineering stakeholders and drive technical direction forward.
  • Translate research into features that deliver materially useful insights to content partners and users.

Qualifications

  • First-principles understanding of the methods you use: able to explain why an algorithm works, its assumptions, and where it breaks.
  • Proficiency across multiple ML domains: supervised and unsupervised learning, deep learning, time-series modeling, and Bayesian statistics.
  • Production-quality software engineering in Python, including reusable service design and the full deployment lifecycle.
  • Experience taking 0-to-1 features end-to-end: problem framing, algorithm design, and production deployment.
  • MS or PhD in Statistics, Computer Science, Machine Learning, or a related quantitative field. Candidates with equivalent industry experience will be considered.
  • 3-5+ years of industry experience designing and deploying ML or statistical solutions in production.
  • Experience with differential privacy, causal inference, or statistical experimentation (A/B testing, Bayesian experimentation).
  • Familiarity with distributed data platforms and web-scale pipelines.
  • Exposure to applied AI, LLMs, and agentic systems.
  • Production engineering experience in Scala or Spark.
  • You think in user outcomes, not model metrics.
  • Communicates clearly across technical and non-technical audiences, and across time zones.
  • Comfortable working independently and collaboratively in a geographically distributed, cross-functional org.

Skills

Required:ML model developmentPython
Nice to have:Differential privacyCausal inference / experimental designScala or Spark

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments
  • relocation eligibility
  • Apple shareholder opportunities via stock programs
  • Employee Stock Purchase Plan
  • access to Apple benefits information
Last updated Jul 17, 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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