Research Engineer, Privacy and Anonymization
Core
Build privacy and anonymization systems for an AI infrastructure team to make sensitive real-world data safe and useful for model training.
Role type
Senior IC research engineer (privacy and anonymization)
Builds
production pipelines for data anonymization and evaluation frameworks
Domain
AI infrastructure + privacy-enhancing technologies
Deliverable
production ML models
Required skills
PII detection, named-entity recognition, classification, data pipeline development, benchmarking, redaction, masking, pseudonymization, synthetic data generation, schema drift handling
Preferred skills
privacy-enhancing technologies, sensitive data in healthcare/finance/security
Technologies
Python, LLM-based approaches, statistical models, classifiers
Responsibilities
Build systems to detect PII, quasi-identifiers, and credentials; Develop and benchmark detection methods; Create production pipelines that anonymize raw data; Design evaluation frameworks for privacy risk and retained utility; Design robust systems for new data sources and schema drift; Partner with engineering and customers to turn privacy requirements into practical policies
Seniority
Senior, hands-on IC
