Clera
Research Engineer, Privacy and Anonymization
- Location
- San Francisco, CA, US
- Arrangement
- On-site
- Employment type
- Full-time
- Posted
- 12 November 2026 (3 days ago)
Checked 2 days agoApplications go to the employer, never to RoleSprint
About this role
ABOUT THE ROLE
Join a research and engineering team building privacy and anonymization systems for sensitive data used in AI training. You will help protect personal and confidential information while preserving the structure and utility of data for downstream workflows.
WHAT YOU'LL DO
- Build systems to detect personally identifiable information, quasi-identifiers, credentials, and other sensitive content, then select transformations suited to the data and its intended use.
- Develop and benchmark detection methods that combine rules, statistical models, classifiers, and language models.
- Build production pipelines that anonymize raw data before it reaches processing, training, evaluation, or synthetic data workflows.
- Create evaluation frameworks for privacy risk and retained data utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.
- Design robust systems that handle new data sources, schema drift, unusual formats, and sensitive information in unexpected fields.
- Work with engineering, research, operations, and customers to turn privacy requirements into practical policies and safeguards.
WHAT WE'RE LOOKING FOR
- At least 2 years of experience building production data or machine learning systems in Python, with strong Python proficiency.
- A technical education or equivalent technical background, and experience building end-to-end data processing pipelines.
- Hands-on experience detecting, removing, or anonymizing PII while preserving useful characteristics, using information extraction, named-entity recognition, classification, or related methods.
- Experience benchmarking detection methods and evaluating recall, precision, latency, cost, and downstream data utility.
- Understanding of redaction, masking, pseudonymization, anonymization, and synthetic data generation.
- Experience designing systems resilient to schema drift, unusual data formats, and processing edge cases.
- Experience with privacy-enhancing technologies such as differential privacy, k-anonymity, secure aggregation, or format-preserving encryption is valuable.
- Experience with high-throughput or low-latency inference, sensitive data in areas such as healthcare, finance, or security, or taking research systems into production is also valuable.
COMPENSATION & BENEFITS
Base salary: $130,000 to $225,000 USD annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California, United States.
Work location
- San Francisco, CA, US
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About this listing
Published on Ashby under the board identifier Clera, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 12 November 2026, last checked 2 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.