Machine Learning Engineer - Ads Relevance & Quality

You’ll play a key role in shaping the future of safe, high-quality advertising at Apple. Your work will help ensure that ads remain useful, relevant, and respectful of our users—supporting Apple’s values of privacy, trust, and transparency. You’ll collaborate with world-class engineers and researchers, apply cutting-edge ML techniques in real-world systems, and have a direct impact on the experience of millions of users every day. - Design and implement machine learning models to evaluate and improve ad relevance, trust, and quality for user queries - Build NLP and multi-modal models that detect offensive, unsafe, or policy-violating content at scale - Develop methods for semantic query understanding, ads understanding, relevance scoring, and keyword-to-ad matching - Collaborate closely with product and policy teams to translate content integrity standards into measurable ML objectives - Work with large-scale, privacy-preserving datasets to discover and operationalize new quality signals - Conduct offline/online experiments to measure impact on user trust and satisfaction across Ads - Partner cross-functionally with infrastructure, product, and moderation teams to deploy models at production scale