Senior Staff Machine Learning Engineer - Ads Prediction, Signals & Quality

About the role

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.

Responsibilities

• 10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains.
• Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch).
• Proven track record in prediction systems (CTR, CVR, or related) and explore/exploit strategies (bandits, RL).
• Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic encryption, secure multiparty computation) is preferred.
• Familiarity with large-scale data pipelines, A/B testing infrastructure, and production experimentation.
• Strong coding skills in Python and production experience in at least one of: Scala, Java, C++.
• Ability to set technical direction, influence cross-functional stakeholders, and deliver business impact.
• Bachelor's in Computer Science, Machine Learning, or a related technical field.

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 is a plus
• 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.
• Pay & Benefits
• Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Additional Information

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!

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