Hiring: Research Engineer, Privacy and Anonymization Company: HUD Location: San Francisco, CA Job Posted Time: 2026-09-17 01:25:31 Employment Type: Full-time / Remote Target Skills & Keywords : Data Pipeline, Design System, Embedded Systems, Encryption, LLM, Python About the job Experience: •Strong proficiency in Python and experience building reliable production data or ML systems •Strong experimental instincts and the ability to compare approaches across recall, precision, latency, cost, and downstream data utility •An understanding of the difference between redaction, masking, pseudonymization, anonymization, and synthetic data—and when each is appropriate •High attention to detail and the ability to reason about subtle leakage paths, edge cases, and adversarial failure modes •Built data processing pipelines end-to-end without a fully prescribed roadmap Required Skills: •Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information and design transformations based on the data type and downstream use case •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 workflows •Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts •Design systems that remain robust to new data sources, schema drift, unusual formats, and sensitive information embedded in unexpected fields •Interface directly with engineering, research, operations, and customers to translate privacy requirements into practical technical policies and safeguards Compensation: •$140,000 - $250,000 / year •100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!