Privacy-Preserving Engineer - Q
Core
Build applied machine learning systems with mathematically provable privacy guarantees for Apple's communication and world-experience products.
Role type
Senior IC privacy-preserving machine learning engineer
Builds
End-to-end privacy-preserving ML pipelines and training systems
Domain
Machine learning + Privacy-preserving technologies
Deliverable
production ML models
Required skills
Python, PyTorch, differential privacy, algorithmic implementation, mathematical maturity, loss function design, custom optimizers, gradient clipping, privacy-utility trade-off analysis
Preferred skills
Open-source DP libraries (Opacus, OpenDP, Diffprivlib), DP-SGD, Renyi DP accounting, Secure Multi-Party Computation, Federated Learning, Trusted Execution Environments
