- Redmond, Washington, United States
- On-site
- Full-time · Senior
- $143K–$275K per year
- 3–6 years
Privacy Member of Technical Staff embedded with engineering and research teams to define and implement privacy engineering into AI development, assessing risks like memorization and ensuring data governance at scale.
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
- Partner directly with engineers, researchers, and platform teams on model training, evaluation, data preparation, and AI system architecture.
- Define technical privacy requirements for model training and AI development.
- Develop and apply methods to assess and quantify privacy risks in AI systems.
- Evaluate how privacy risk changes across datasets, model architectures, training approaches, and privacy-preserving techniques.
- Determine the effectiveness and limitations of mitigations such as scrubbing, loss masking, aggregation, de-identification, differential privacy, filtering, or synthetic data.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field