← All jobs
Clera

Research Engineer, Privacy and Anonymization

San Francisco
Salary
$130,000 - $225,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Sponsors visas

Open. First seen 20 October 2026.

Apply on the company's site →

About the role

About the Role

Build privacy and anonymization systems for an AI infrastructure team, helping make sensitive real-world data safer to use in model training and evaluation. You will develop end-to-end methods that protect sensitive information while preserving the structure and utility of data.

What You'll Do

  • Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information, then choose transformations suited to the data and its downstream use.
  • Develop and benchmark detection approaches using rules, statistical models, classifiers, and LLM-based methods.
  • Build production pipelines that anonymize data before it enters processing, training, evaluation, or synthetic data workflows.
  • Create evaluation frameworks for privacy risk and retained utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.
  • Design systems that handle new data sources, schema drift, unusual formats, and sensitive information in unexpected fields.
  • Collaborate across engineering, research, operations, and customer-facing teams to turn privacy requirements into practical safeguards.

What We're Looking For

  • At least 2 years of experience building production data or ML systems with strong Python skills.
  • Hands-on experience detecting, removing, or anonymizing PII while preserving useful data characteristics.
  • Experience with information extraction, named-entity recognition, classification, or related methods for detecting sensitive or rare content.
  • Experience building end-to-end data processing pipelines and working through open-ended problems from research to production.
  • Ability to compare methods across recall, precision, latency, cost, and downstream data utility.
  • Understanding of redaction, masking, pseudonymization, anonymization, and synthetic data generation.
  • Experience with privacy-enhancing technologies such as differential privacy, k-anonymity, secure aggregation, or format-preserving encryption is valuable.
  • Experience with sensitive data in healthcare, finance, security, or related fields, and with high-throughput or low-latency ML systems, is a plus.

Compensation & Benefits

Base salary: $130,000 to $225,000 USD annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.

What this role asks for

Standard for software engineering roles

Python

Common in software engineering postings at any company.

Compared with Clera's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 346 open in Engineering. 280 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (154 of 346), Python (146 of 346), TypeScript (144 of 346), React (117 of 346), Machine Learning (85 of 346), PostgreSQL (61 of 346), JavaScript (59 of 346)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

Other openings for this role

2 open postings for this role in San Francisco, first posted 1 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Similar jobs

Is this your posting? Email info@careerholo.com to have it removed.