Staff+ Software Engineer, Privacy
San Francisco, CA | New York City, NY | Seattle, WA
USD 405K-485K Senior-level Full Time
Tasks
- Advocate for privacy best practices
- Architect data governance platforms for data lineage purpose limitation and retention
- Build privacy infrastructure for data discovery classification and access controls
- Contribute to open source tools and privacy standards
- Design privacy preserving analytics and measurement systems
- Design privacy preserving architectures for AI training and inference
- Develop privacy engineering toolkits and frameworks
- Embed privacy controls into inference systems user interfaces and data pipelines
- Implement audit logging and data lifecycle management
- Implement privacy preserving training methodologies
- Lead privacy reviews and threat modeling
- Research and evaluate emerging privacy technologies
- Translate privacy regulations into technical compliance controls
Perks/Benefits
- Flexible working hours
- Generous vacation
- Hybrid work policy
- Optional equity donation matching
- Parental leave
Skills/Tech-stack
AI Act | Access Control | Audit Logging | By Design | CCPA | Data Classification | Data Governance | Data Lifecycle Management | Data Lineage | Data lifecycle | Data minimization | Differential Privacy | EU AI | EU AI Act | Federated Learning | GDPR | Go | HIPAA | Homomorphic Encryption | Lifecycle Management | Multi-party Computation | Privacy Enhancing Technologies | Privacy by Design | Privacy-preserving | Privacy-preserving analytics | Purpose Limitation | Python | Risk Assessment | Secure Enclaves | Secure Multi-Party Computation | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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