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Research Engineer, Privacy and Anonymization

hudSan FranciscoEngineering & Research
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Salary
$100K – $230K
Job type
Full-time
Posted
16 Sept 2026
Status
Open · checked 7d ago

About this role

HUD is hiring a Research Engineer for privacy and anonymization systems based in San Francisco, Singapore, or remote. This full-time position suits engineering professionals with a background in Python and production data systems who want to secure data for artificial intelligence training workflows.

Role Overview

The Research Engineer creates privacy and anonymization architecture that prepares real-world data for artificial intelligence training. The professional handles the complete pipeline for removing personally identifiable information and secrets without diminishing dataset utility.

Key Responsibilities

Build mechanisms to identify credentials, personally identifiable information, and quasi-identifiers, establishing transformations based on specific use cases.
Create and benchmark detection strategies utilizing statistical models, rule sets, classifiers, and large language model techniques.
Implement production pipelines for anonymizing raw inputs prior to training, evaluation, synthetic data generation, or general processing.
Develop evaluation systems tracking privacy risk and data utility through leakage tests, recall-weighted metrics, and adversarial re-identification checks.
Design architectures capable of handling unusual formats, schema drift, new data sources, and sensitive details found in unexpected fields.
Coordinate with customers, operations, research, and engineering teams to turn privacy demands into practical technical guardrails.

Requirements

High proficiency in Python along with a history of constructing reliable production machine learning or data pipelines.
Background in named-entity recognition, information extraction, classification, or similar techniques for spotting rare or sensitive content.
Experimental focus enabling comparisons across precision, recall, cost, data utility, and latency.
Familiarity with the distinctions between anonymization, pseudonymization, masking, redaction, and synthetic data.
Detail-oriented approach for evaluating adversarial failure modes, edge cases, and leakage paths.
Experience designing end-to-end data processing workflows independently.

Nice to Have

Practical background using privacy-enhancing technologies like differential privacy, format-preserving encryption, secure aggregation, or k-anonymity.
Previous engagement handling sensitive information within sectors like finance, healthcare, or security.
History of constructing high-throughput or low-latency machine learning inference and data processing architectures.
Experience operating inside unstructured problem domains from early research phases through production deployment.
Early-stage startup background paired with strong cross-time-zone communication abilities.

Skills and Tools

Python
Large Language Models
Statistical Models
Named-Entity Recognition
Information Extraction
Differential Privacy
K-Anonymity
Format-Preserving Encryption
Secure Aggregation

Salary and Benefits

Base salary range from $80,000 to $230,000 depending on location and experience.
Comprehensive medical, dental, and vision coverage from Blue Shield of California for United States employees.
Daily lunch and dinner provisions for staff working from physical offices.
Paid holidays, standard PTO, and a company holiday break spanning Christmas Eve to New Year's Day.
Additional perks for United States staff including commuter benefits, a 401k plan, and an Equinox gym membership.
Unlimited token access for tools such as Cursor, Claude Code, and ChatGPT.

About the Company

HUD creates infrastructure for artificial intelligence data, serving startups, Fortune 500 businesses, and frontier laboratories. The enterprise holds sixteen million dollars in backing from prominent venture capitalists and Y Combinator. The current staff consists of approximately twenty-five individuals with backgrounds spanning international olympiads and academic publications.

How to Apply

Interested candidates should submit their application through the official company careers page.

Skills and tech stack

PythonChatGPTClaude CodeCursorLLM

Questions candidates ask

Where is the Research Engineer position located?

The role can be performed from offices in San Francisco or Singapore, or remotely with a 70-80% hour overlap with either location.

What is the salary range for this role?

Base salaries range from $80,000 to $230,000 based on geography and experience, with San Francisco offering $135,000 to $230,000, Singapore offering $100,000 to $175,000, and the rest of the world offering $80,000 to $175,000.

Does HUD offer visa sponsorship?

Yes, HUD supports visa sponsorship and relocation for strong full-time candidates moving to the United States or Singapore.

What does the interview process involve?

The evaluation pipeline includes two technical interviews followed by a two to three day work trial.

What programming language is required?

Candidates must have strong proficiency in Python.

Ready to apply?

The application is on the official hud careers page.

Apply on company site