Research Engineer, Privacy and Anonymization (Mid-Level)

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San Francisco ABOUT THE ROLE Build privacy and anonymization systems that make sensitive real-world data safer to use in AI training and evaluation. You will develop detection and transformation methods, then bring them into production pipelines while preserving useful data structure and signal. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information, and apply transformations suited to each data type and use case. - Develop and benchmark detection methods using rules, statistical models, classifiers, and LLM-based approaches. - Create…