Senior Staff AI Engineer, AI Privacy Expert
Mountain View, CA, United States
USD 198K-326K Senior-level Full Time
Tasks
- Build evaluation frameworks for fidelity utility and privacy
- Conduct differential privacy research
- Conduct privacy preserving machine learning research
- Conduct secure computation research
- Create privacy documentation
- Define audit procedures
- Define privacy standards and threat models
- Design privacy preserving machine learning algorithms
- Develop evaluation and auditing techniques
- Develop evaluation suites
- Develop internal privacy libraries
- Develop privacy-first training algorithms
- Evaluate privacy and utility tradeoffs
- Guide ML lifecycle privacy monitoring
- Implement privacy preserving algorithms for production
- Measure model robustness against privacy attacks
- Prototype privacy preserving machine learning algorithms
- Publish privacy performance tradeoff insights
- Strengthen model robustness against privacy attacks
Perks/Benefits
Skills/Tech-stack
Data anonymization | Differential Privacy | Evaluation Frameworks | Federated Learning | Language Models | Large Language Models | Machine Learning | Membership inference | Model Robustness | Model inversion | Privacy auditing | Privacy-preserving | Privacy-preserving machine learning | Secure Aggregation | Secure Computation | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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