Staff+ Software Engineer, Privacy

Anthropic is a public benefit corporation focused on building reliable, interpretable, and steerable AI systems. We are seeking a Staff+ Software Engineer, Privacy to join our Data Infrastructure team. This is a foundational role: as one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic, architecting privacy-preserving systems and leading the implementation of privacy-enhancing technologies across our infrastructure. You will work at the intersection of privacy engineering, AI safety, and distributed systems.

• Design and implement privacy-preserving architectures for AI training and inference systems at scale, using techniques such as differential privacy, federated learning, and secure multi-party computation.
• Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality.
• Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management.
• Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, EU AI Act) into technical implementations and automated compliance controls.
• Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems.
• Lead privacy reviews and threat modeling for new models and features.
• Embed privacy controls into Claude's inference systems, user interfaces, and data pipelines.
• Develop privacy engineering toolkits and frameworks.
• Design privacy-preserving analytics and measurement systems.
• Evaluate emerging privacy technologies and contribute to open-source tooling and AI privacy standards.

Minimum: Experience applying privacy engineering principles in production systems; proficiency in Python, Go, or similar languages; experience building privacy infrastructure for large user bases; understanding of privacy regulations (GDPR, CCPA); experience conducting privacy reviews, threat modeling, or risk assessments; strong communication skills.

Preferred: Hands-on experience with privacy-enhancing technologies (differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation); experience with ML/AI privacy; experience establishing a privacy engineering practice; experience with distributed systems and cloud infrastructure; 12+ years of software engineering experience; 3+ years leading complex projects.

Annual salary range: $405,000—$485,000 USD. Anthropic offers competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours.