Job Details

Role Number: 200620203-2459

Summary

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!

Description

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.

Minimum Qualifications

• MS or PhD in Computer Science, Machine Learning, or related discipline.

• Published research or open-source contributions in ads, ranking, privacy-preserving ML, or large-scale prediction systems.

• Experience leading multi-team or cross-org initiatives with measurable business and user impact.

• Deep expertise in signals engineering for ads quality, trust & safety, or search relevance.

Preferred Qualifications

• 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 is a plus

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .