Research Engineer

• Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information and design transformations based on data type and downstream use case
• Develop and benchmark detection approaches combining rules, statistical models, classifiers, and LLM-based methods
• Build production pipelines that anonymize raw data before downstream processing, training, evaluation, or synthetic data generation
• Create evaluation frameworks measuring privacy risk and retained data utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts
• Design systems robust to new data sources, schema drift, unusual formats, and sensitive information embedded in unexpected fields
• Work with engineering, research, operations, and customers to translate privacy requirements into practical technical policies and safeguards
• Own the full pipeline for protecting privacy without destroying the structure and signal valuable for AI-agent training
• Participate in a 2–3 day work trial during the application process

Research Engineer jobs in Singapore

Research Engineer, Privacy and Anonymization