Research Engineer, Privacy and Anonymization

Research Engineer focused on privacy and anonymization at HUD. This role involves building systems to detect and remove sensitive information like PII and secrets from data to ensure its safety for AI training. Responsibilities include developing detection methods, creating production anonymization pipelines, and designing evaluation frameworks for privacy risk and data utility.

Skills and focus areas

• python
• data systems
• ml systems
• pii detection
• anonymization
• rules-based systems
• statistical models
• classifiers
• llm-based methods
• production pipelines
• privacy risk assessment
• data utility evaluation