Research Engineer, Privacy and Anonymization

Build privacy and anonymization systems for an AI infrastructure team, helping make sensitive real-world data safe and useful for model training. You will own production methods that protect private information while preserving the structure and signal needed for training and evaluation.

• Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information, and choose 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 raw data before downstream processing, training, evaluation, or synthetic data generation.

• Build evaluation frameworks for privacy risk and retained utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.

• Design robust systems for new data sources, schema drift, unusual formats, and sensitive information in unexpected fields.

• Partner with engineering, research, operations, and customers to turn privacy requirements into practical policies and safeguards.

• At least 2 years of experience building production data or ML systems in Python.

• Hands-on experience detecting, removing, or anonymizing PII while preserving useful data characteristics.

• Experience with information extraction, named-entity recognition, classification, or related techniques for detecting sensitive or rare content.

• 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.

• Strong experimental skills and experience handling schema drift, unusual formats, and edge cases.

• Technical education or equivalent background; experience with privacy-enhancing technologies or sensitive data in healthcare, finance, or security is valuable.

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

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