AIML Privacy - Engineering Rotation
Core
Design, develop, and deploy end-to-end measurement systems with high utility that meet Apple's industry-leading privacy bar while combining hands-on software engineering with privacy engineering.
Role type
Senior IC privacy-preserving machine learning engineer
Builds
Privacy-preserving measurement and machine learning tools and systems
Domain
Consumer technology, privacy-preserving machine learning
Deliverable
production ML models
Required skills
Differential privacy, private federated learning, software engineering, system design, privacy risk assessment
Preferred skills
Shipped privacy measures in consumer products, public standards forum participation, academic publications in privacy/ML, system architecture analysis
Technologies
Differential privacy frameworks, federated learning platforms
Responsibilities
Design and deploy end-to-end measurement systems meeting privacy standards; communicate system design tradeoffs and privacy risks to senior leadership; build cross-team consensus and collaboration
Seniority
Senior, hands-on IC
