Research Engineer, Privacy
Core
Design and implement privacy-preserving machine learning algorithms and tools to safeguard user data in large-scale AI systems.
Role type
Research Engineer, Privacy
Builds
Production privacy services, internal libraries, evaluation suites, and technical safeguards for ML lifecycle.
Domain
Artificial Intelligence / Machine Learning / Data Privacy
Deliverable
production ML models
Required skills
differential privacy, federated learning, secure aggregation, model robustness testing, deep learning frameworks, threat modeling, regulatory compliance translation
Preferred skills
publishing novel privacy/security work, bridging academia and production, stress-testing models for data leakage
Technologies
PyTorch, JAX
Responsibilities
Design and prototype privacy-preserving ML algorithms; Measure and strengthen model robustness against privacy attacks; Develop internal libraries and evaluation suites; Lead investigations into privacy–performance trade-offs; Define privacy standards and audit procedures; Collaborate with Security, Policy, Product, and Legal on regulatory safeguards
Seniority
Mid-to-Senior, hands-on IC with research and production experience
