- San Francisco, California, United States +1 more
- Full-time
Build systems to detect and remove personally identifiable information and other sensitive content from raw data before it enters processing and synthetic data pipelines.
Locations (2)
- San Francisco, California, United States
- Singapore, Singapore
Responsibilities
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation
- Create evaluation frameworks that measure privacy risk and retained data utility
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields
Requirements
- Nice to have: privacy-enhancing technologies