Machine Learning Engineer - iCloud Anti-Abuse

About the role

This role sits at the intersection of machine learning and distributed systems engineering. You will play a foundational role in building the team's ML capabilities - owning ML-driven abuse detection: building features from high-volume data streams, training and evaluating classification and ranking models, deploying them into low-latency serving infrastructure, and closing the feedback loop. The systems you build will run at massive scale across Apple's infrastructure. Success in this role means writing production-quality code, reasoning about distributed system tradeoffs, and iterating quickly on model performance. This is a high-impact role - your work will directly determine whether abuse reaches iCloud users or gets stopped.