# Research Engineer, Privacy and Anonymization

About HUD HUD 's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs. 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. Responsibilities 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

- **Id**: 984320
- **Url**: <https://alion.io/job/hud-research-engineer-privacy-and-anonymization>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States, Singapore
- **Countries**: US, SG
- **Hiring countries total**: 0
- **Visa sponsorship**: yes
- **Relocation package**: yes
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-16T20:16:52Z
- **Employer posted date**: 2026-09-16
- **Last verified at**: 2026-11-12T10:40:50Z
- **Board verified**: yes
- **Days open**: 56
- **Description format**: text
- **Description chars**: 5326
- **Description truncated**: no
- **Benefits**: 401k plan
- **Relocation offered**: yes
- **Industries**: AI Training Data & Annotation, Data Marketplaces, Sharing & Clean Rooms

## Company

- **Id**: 678875
- **Name**: HUD
- **Domain**: hud.so
- **Url**: <https://alion.io/company/hud-3>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: B
- **Score**: 75
- **Open postings**: 10
- **Ghost share**: 0
- **Stale share**: 1
- **Repost share**: 0
- **Computed at**: 2026-11-12T10:38:37Z

## Salary

- **Min**: 100000
- **Max**: 230000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 230000

## Technologies

- **ChatGPT** — Optional: no
- **Claude Code** — Optional: no
- **Cursor** — Optional: no
- **LLM** — Optional: no
- **Python** — Optional: no
- **Synthetic Data** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 56

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Hiring locations

- **United States** — Iso: US; Kind: country
- **Singapore** — Iso: SG; Kind: country

## Lifecycle

- Event: open; At: 2026-09-16T22:55:12Z

## Visa

- Country: US; Licensed sponsor: no; Adverts offering sponsorship 24m: 32; Sanctioned now: no; Evidence: Offered visa sponsorship in 32 of its adverts here in 24 months; Filings 12m: 0

## Liveness

- **Score**: 4
- **Band**: cold
- **Label**: Long shot
- **P open**: 0.4
- **P active**: 0.281
- **P room**: 0.35
- **Age days**: 56
- **Expected fill days**: 27
- **Reasons**: seen:56, stale_co, win:tail
- **Computed at**: 2026-11-12T10:38:37Z

## Pay

- **Stated usd annual**: 230000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.