✦ Luna Orbit — AI & Machine Learning

Staff+ Software Engineer, Privacy

at Anthropic

📍 San Francisco, CA | New York City, NY | Seattle, WA Unknown Posted March 19, 2026
Type Not Specified
Experience senior
Exp. Years 10+ years
Education Not specified
Category AI & Machine Learning

This role focuses on leading privacy engineering efforts to develop scalable, compliant, and secure privacy solutions for AI systems, ensuring data protection and regulatory adherence.

  • Lead privacy architecture design
  • Implement privacy-preserving methodologies
  • Develop privacy infrastructure
  • Ensure regulatory compliance
  • Contribute to open-source privacy tools

The technical environment involves differential privacy, federated learning, secure multi-party computation, and privacy infrastructure development, with a focus on AI safety and compliance.

The ideal candidate is a senior privacy engineer with over 10 years of software engineering experience, specializing in privacy-preserving architectures, AI safety, and regulatory compliance. They have a proven track record of leading privacy initiatives and contributing to open-source privacy tools.

10+ years of professional software engineering experience5+ years of experience focused on privacysecurityor data protectiondeep expertise in privacy engineering principles
experience with privacy-preserving architecturesexperience with AI safetyopen-source contributionsthreat modelingprivacy-preserving analytics
None specified
privacy engineeringdifferential privacyfederated learningsecure multi-party computationprivacy by designGDPRCCPAHIPAAEU AI Actprivacy infrastructureAI safetyprivacy-preserving systemsprivacy technologiesthreat modelingprivacy compliance
privacy engineeringdifferential privacyfederated learningsecure multi-party computationprivacy by designdata minimizationregulatory complianceGDPRCCPAHIPAAEU AI Act
leadershipcollaborationproblem-solvingcommunicationtechnical leadership
Industry Technology / AI / SaaS
Job Function Leading privacy engineering initiatives for AI data protection
Role Subtype Privacy Engineer
Tech Domains Privacy Engineering
privacy engineerdifferential privacyfederated learningsecure multi-party computationprivacy by designGDPRCCPAHIPAAEU AI Actprivacy infrastructureAI safetyprivacy-preserving systemsprivacy technologiesthreat modelingprivacy compliance

Less than 10 years of software engineering experience, Lack of deep expertise in privacy engineering, No experience with privacy-preserving architectures

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