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Staff Software Engineer, Privacy Infrastructure

Anthropic

$320,000 - $485,000
Aug 27, 2025
San Francisco, CA, US
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To create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society as a whole, by solving novel challenges in protecting user data at scale.

Requirements

  • 8+ years of software engineering experience with 5+ years focused on privacy, security, or data protection
  • Deep expertise in privacy engineering principles: privacy by design, data minimization, purpose limitation
  • Strong programming skills in Python, Go, or similar languages with experience building production systems at scale
  • Experience with privacy-enhancing technologies (differential privacy, homomorphic encryption, secure enclaves)
  • Proven track record of designing and implementing privacy infrastructure serving millions of users
  • Expertise in data governance, classification, and lifecycle management systems

Responsibilities

  • Design and implement privacy-preserving architectures for AI training and inference systems handling billions of conversations
  • Partner with AI researchers to implement privacy-preserving training methodologies that maintain model quality while protecting user data
  • Build foundational privacy infrastructure including automated data discovery, classification, access controls, audit logging, and lifecycle management systems
  • Translate complex regulatory requirements into actionable technical implementations and automated compliance controls
  • Architect comprehensive data governance platforms for tracking data lineage, purpose limitation, and retention across distributed AI systems
  • Lead technical privacy reviews and threat modeling for new AI models and features, identifying risks and architecting scalable mitigations

Other

  • BS/MS in Computer Science, Engineering, or equivalent practical experience
  • Education requirements: at least a Bachelor's degree in a related field or equivalent experience
  • Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time
  • Visa sponsorship: we do sponsor visas, but we aren't able to successfully sponsor visas for every role and every candidate