Staff Privacy Engineer for Scalable AI Systems

Anthropic; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Job summary

Anthropic is seeking a senior Privacy Engineer to establish and lead privacy across our AI systems. You’ll join the Data Infrastructure team to architect privacy-preserving solutions and drive security-by-design across engineering, research, and product domains.

As a foundational role, you’ll shape privacy strategy for large-scale training and inference, implement automated controls, and mentor teams on privacy best practices, balancing safety with system performance.

Qualifications

• Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation
• Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale
• Experience designing and implementing privacy infrastructure for systems with a large user base
• Experience with data governance, classification, or data lifecycle management systems
• Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs
• Experience conducting privacy reviews, threat modeling, or risk assessments
• Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams

Responsibilities

• Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. 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, the 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, identifying risks and designing scalable mitigations
• Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines
• Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default
• Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data
• Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards
• Advise on and advocate for privacy practices as a core part of how we approach AI safety

Job description

Anthropic is seeking a senior Privacy Engineer to establish and lead privacy across our AI systems. You’ll join the Data Infrastructure team to architect privacy-preserving solutions and drive security-by-design across engineering, research, and product domains.

As a foundational role, you’ll shape privacy strategy for large-scale training and inference, implement automated controls, and mentor teams on privacy best practices, balancing safety with system performance.