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Staff+ Software Engineer, Privacy

Anthropic· Software Engineering - Infrastructure
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Hybrid (San Francisco, CA; Seattle, WA; New York City, NY)$405k - $485kFull-timePosted 2mo ago

About the role

Senior privacy engineer role focused on designing and leading privacy engineering efforts for Anthropic's AI systems, with autonomy and broad influence across engineering, research, 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

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

Skills

Required:Privacy by designThreat modelingRegulatory translationData governance
Nice to have:Differential privacyFederated learningSecure multi-party computation

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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