About The Position

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We are seeking an experienced Machine Learning Engineer to drive innovation in ad prediction, quality, and privacy-preserving signals. This role spans three critical areas: building large-scale prediction models, designing signals that respect user privacy, and ensuring ad quality that aligns with Apple's values of trust and transparency. You will set technical direction, lead complex initiatives, and mentor engineers while collaborating closely with research, infrastructure, and product teams. This role offers the opportunity to shape the future of privacy-first advertising at Apple. You'll work with some of the best engineers and researchers in the field, solve problems at massive scale, and deliver models that respect users while driving meaningful outcomes for advertisers.

Requirements

  • MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
  • Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms.

Responsibilities

  • Drive innovation in ad prediction, quality, and privacy-preserving signals.
  • Build large-scale prediction models.
  • Design signals that respect user privacy.
  • Ensure ad quality that aligns with Apple's values of trust and transparency.
  • Set technical direction and lead complex initiatives.
  • Mentor engineers.
  • Collaborate closely with research, infrastructure, and product teams.

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Education Level

Master's degree

Number of Employees

5,001-10,000 employees

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