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Machine Learning Engineering Manager - Ads Recommendations

Apple· Machine Learning and AI
Apply on company site
Cupertino, CA$206.2k - $356.4kfull-timePosted 2mo ago

About the role

Engineering manager leading the next generation advertiser recommendation engine for Apple Ads, shaping strategy, architecture, and delivery across multiple technical domains with a focus on privacy, scalability, and advertiser performance.

Responsibilities

  • Define and implement the technical strategy for building the next generation recommendation engine to help advertisers optimize for their campaign performance goals.
  • Leverage innovative research and technology including GenAI and agentic approaches to deliver capabilities at scale.
  • Shape the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers.
  • Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant.
  • Execute and analyze A/B tests and pilots to drive continuous improvements in advertiser-facing applications.
  • Work closely with engineering and business teams to scale innovations, improving advertiser experience and monetization potential across Apple Ads.
  • Operate at utmost scale, ensuring efficient and reliable model deployment and execution.
  • Architect and scale intelligence systems, addressing operational concerns and performance optimizations.
  • Lead, mentor, and grow a talented team of engineers, setting technical direction and execution cadence.

Qualifications

  • 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.
  • Deep understanding of modern machine learning techniques, statistics, and quantitative optimization.
  • Experience working with operational teams on deployment, monitoring, and system management.
  • Experience running A/B tests and pilots for sales / advertiser-facing applications.
  • Experience building GenAI and agentic systems.
  • Hands-on experience with Python or Java in a production environment.
  • Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
  • BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
  • 5+ years of experience leading teams that apply advanced statistical/ML methods.
  • Previous experience in the online advertising domain is a big plus.
  • MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

Skills

Required:Machine LearningGenAI / agentic systemsProduction Python or JavaDeployment & operationsA/B testing

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation eligibility
  • employee stock programs including discretionary RSU awards and possible stock purchase plan eligibility
Last updated Aug 21, 2026. Interested? Apply on the company site.

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