Research Engineer, Privacy and Anonymization (Singapore Time)
Core
Build systems to detect and remove PII, secrets, and sensitive content from raw data to make it safe for AI training while preserving utility.
Role type
Research Engineer, Privacy and Anonymization
Builds
Production pipelines for data anonymization, detection methods, and evaluation frameworks for privacy risk and data utility.
Domain
AI infrastructure, Data Privacy, Machine Learning
Deliverable
production ML models
Required skills
Python, Information Extraction, Named Entity Recognition, Classification, LLM-based methods, Data Processing Pipelines, Privacy-enhancing technologies (Differential Privacy, k-anonymity, etc.)
Preferred skills
Experience with sensitive data in healthcare/finance/security, Low-latency ML inference, End-to-end pipeline ownership
Technologies
Python, LLMs, Statistical models, Classifiers
Responsibilities
Build systems to detect PII and sensitive information; Develop and benchmark detection approaches; Build production pipelines that anonymize raw data; Create evaluation frameworks for privacy risk and data utility; Design robust systems for schema drift and edge cases; Collaborate to translate privacy requirements into technical policies.
