Staff+ Software Engineer, Privacy

📋 Description

• Design and implement privacy-preserving architectures for AI training and inference systems
• Partner with researchers to implement privacy-preserving training methods that protect user data
• Build foundational privacy infrastructure, including automated data discovery, classification
• Translate regulatory requirements (GDPR, CCPA, HIPAA, EU AI Act) into technical implementations and
• Architect data governance systems for tracking data lineage, purpose limitation, and retention
• Lead privacy reviews and threat modeling for new models and features, identifying risks and

🎯 Requirements

• Experience applying privacy engineering principles in production systems, including privacy by
• Proficiency in Python, Go, or similar languages, with experience building and operating production
• 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
• Experience conducting privacy reviews, threat modeling, or risk assessments.

🎁 Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in San Francisco.
• Collaborative, mission-driven culture focused on safety and beneficial AI.