Staff+ Software Engineer, Privacy

Anthropic
San Francisco, New York, Seattle
Workplace: OnsiteFull timeUSD 405,000 - 485,000 annuallyFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Communication","Technical leadership","Collaboration","Alignment","Problem-solving"]

Establish and scale the privacy engineering function for frontier AI systems that handle sensitive data at massive scale. Architect privacy-preserving designs for training and inference, build core privacy infrastructure (data discovery, access controls, audit logging, lifecycle management), and translate regulations into automated compliance controls. Partner with researchers and product/infrastructure teams to lead privacy reviews, threat modeling, and privacy-by-default toolkits—enabling other engineers to ship safer AI systems.

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FursaFursa
Anthropic
Anthropic
4 days ago

Staff+ Software Engineer, Privacy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Establish and scale the privacy engineering function for frontier AI systems that handle sensitive data at massive scale. Architect privacy-preserving designs for training and inference, build core privacy infrastructure (data discovery, access controls, audit logging, lifecycle management), and translate regulations into automated compliance controls. Partner with researchers and product/infrastructure teams to lead privacy reviews, threat modeling, and privacy-by-default toolkits—enabling other engineers to ship safer AI systems.
Location: San Francisco, New York, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement privacy-preserving architectures for AI training and inference systems at very large scale.
  • •Build privacy infrastructure such as 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.
  • •Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations.
  • •Develop privacy engineering toolkits and frameworks and advise teams on privacy practices across engineering, research, and product.

Pay and Benefits

Salary: USD 405,000 - 485,000 annually
Perks:EquityParental LeavePaid Leave

Key Requirements

  • •Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation.
  • •Proficiency in Python or Go and experience building/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 (e.g., GDPR, CCPA) and translating legal requirements into technical designs.
Experience:12+ yearsAIMachine learningPrivacy engineeringDistributed systemsCloud infrastructure
Education:Bachelor's
Skills:CommunicationTechnical leadershipCollaborationAlignmentProblem-solving
Languages:English
Tech Stack:PythonGoDifferential privacyFederated learningSecure multi-party computationSecure enclavesHomomorphic encryption

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn