# Research Engineer, Privacy and Anonymization at HUD

- Company: HUD
- What the company does: Backed by Y Combinator.
- Company website: https://www.hud.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-09-16
- Apply by: 2026-10-31
- Apply: https://jobs.ashbyhq.com/hud/965d24c5-2cce-4683-9848-597b12ed4a23
- Page: https://www.1752.vc/careers/jobs/hud-research-engineer-privacy-and-anonymization/

## About the role

We’re looking for a Research Engineer to build the privacy and anonymization systems that make sensitive, real-world data safe and useful for AI training. You’ll develop methods to detect and remove PII, secrets, and other sensitive information from raw data before it enters our processing and synthetic data pipelines. You’ll own the full pipeline for protecting privacy without destroying the structure and signal that make data valuable for training agents.

## What they're looking for

- Strong proficiency in Python and experience building reliable production data or ML systems
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content
- 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

Tags: Engineering & Research