Clera
From company careers site
Research Engineer, Privacy and Anonymization
- Location
- San Francisco
- Work mode
- On-site
- Employment type
- Full-time
About the job
ABOUT THE ROLE
Join a team building privacy and anonymization systems for sensitive real-world data used in AI training. You will develop methods that protect personal and confidential information while preserving the structure and signal that make data useful.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information, then select transformations suited to each data type and use case.
- Develop and benchmark detection methods combining rules, statistical models, classifiers, and LLM-based approaches.
- Create production pipelines that anonymize data before downstream processing, training, evaluation, or synthetic data generation.
- Build evaluation frameworks for privacy risk and retained data utility, including 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 safeguards.
WHAT WE'RE LOOKING FOR
- At least 2 years of experience building production data or ML systems in Python, with hands-on experience transforming PII while preserving useful data characteristics.
- Experience with PII detection, removal, or anonymization, and with information extraction, named-entity recognition, classification, or related techniques.
- Experience building end-to-end data processing pipelines and benchmarking approaches across recall, precision, latency, cost, and 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.
- Strong experimental judgment and attention to edge cases; experience with sensitive data or high-throughput ML and data systems is valuable.
COMPENSATION & BENEFITS
Base salary: $130,000 to $225,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California, United States.
From Clera's careers page (Ashby), checked 29 Oct 2026.
How to apply
- Select Apply on getclera.com. It opens Clera's own application form in a new tab, run on Ashby.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Clera will reply to you directly. No real employer asks you for money to apply.
Posted 28 Oct 2026 · checked 29 Oct 2026 · Report this job