Staff+ Software Engineer, Privacy
San Francisco, CA | New York City, NY | Seattle, WA
USD 405K-625K Senior-level Full Time
Tasks
- Architect data governance platforms for data lineage purpose limitation and retention
- Build privacy infrastructure for automated data discovery classification access controls audit logging and lifecycle management
- Conduct technical privacy reviews and threat modeling for new AI models and features
- 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 privacy preserving training methodologies
- Lead privacy best practice advocacy and consulting
- Research and evaluate emerging privacy technologies and standards
- Translate regulatory requirements into technical implementations and automated compliance controls
Perks/Benefits
Skills/Tech-stack
Access Control | Audit Logging | By Design | CCPA | Data Classification | Data Governance | Data Lifecycle Management | Data Lineage | Data lifecycle | Data minimization | Differential Privacy | Federated Learning | GDPR | Go | HIPAA | Homomorphic Encryption | Lifecycle Management | Multi-party Computation | Privacy Engineering | Privacy by Design | Purpose Limitation | Python | Risk Assessment | Secure Computation | Secure Enclaves | Secure Multi-Party Computation | Threat modeling
Education
Roles
Regions
Countries
States
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