Engineering Manager - Ads Recommendations

Apple Apple · Big Tech · Cupertino, CA +1 · Machine Learning and AI

Engineering Manager to lead the development of a next-generation advertiser recommendation engine using GenAI and agentic approaches for Apple Ads. The role involves defining technical strategy, designing algorithms, executing A/B tests, and scaling intelligence systems, with a focus on privacy compliance and advertiser campaign performance.

What you'd actually do

  1. Define and implement the technical strategy for building the next generation recommendation engine to help advertisers optimize for their campaign performance goals.
  2. Leverage innovative research and technology including the latest GenAI and agentic approaches to deliver these capabilities at scale.
  3. Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers.
  4. Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant.
  5. Lead, mentor, and grow a talented team of engineers, setting technical direction and execution cadence.

Skills

Required

  • machine learning
  • statistics
  • quantitative optimization
  • tech lead
  • engineering manager
  • GenAI
  • agentic systems
  • Python
  • Java
  • databases
  • SQL
  • scripting languages
  • A/B tests
  • pilots

Nice to have

  • online advertising domain
  • MS/PhD

What the JD emphasized

  • 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
  • Track record of leading machine learning engineering teams from design to implementation, ensuring scalability and reliability.
  • Experience building GenAI and agentic systems.

Other signals

  • recommendation engine
  • GenAI
  • agentic approaches
  • advertiser optimization
  • privacy-first solutions