Staff+ Software Engineer, Privacy
Core
Foundational privacy engineer establishing the privacy function at Anthropic, designing privacy-preserving systems for frontier AI models and infrastructure.
Role type
Staff+ individual contributor privacy engineer
Builds
Privacy-preserving AI training/inference systems, data governance infrastructure, automated compliance controls, and privacy toolkits.
Domain
AI safety, distributed systems, privacy engineering, data governance
Deliverable
production ML models | infrastructure
Required skills
Privacy engineering principles (privacy by design, data minimization), Python/Go, large-scale system operations, data governance/lifecycle management, regulatory translation (GDPR/CCPA), threat modeling
Preferred skills
Privacy-enhancing technologies (differential privacy, homomorphic encryption, secure enclaves, MPC), ML/AI privacy infrastructure, building privacy engineering practices, distributed systems/cloud scale, technical project leadership, open-source contributions
Technologies
Python, Go, differential privacy, federated learning, secure multi-party computation, homomorphic encryption, secure enclaves
Responsibilities
Design privacy-preserving architectures for AI training/inference; implement privacy infrastructure (data discovery, access controls, audit logging); translate regulations into technical controls; architect data governance systems; lead privacy reviews and threat modeling; develop privacy engineering toolkits; design privacy-preserving analytics.
Seniority
Staff+, high autonomy, broad influence, early function builder
