Machine Learning Engineer, Data Privacy & Anonymization
AfterQuery, San Francisco
Overview
AfterQuery builds the data and evaluation systems that power frontier AI models. Every leading AI lab uses our datasets and reinforcement learning environments to encode and scale real-world expertise.
We’re hiring a Machine Learning Engineer, Data Privacy & Anonymization to build the lasting systems that enable us to handle sensitive customer data safely. You'll own anonymization layers, and infrastructure that sits inline with production software, detects identifying information in whatever passes through it, and transforms that data without destroying its usefulness. You’ll support AfterQuery’s mission by curating trainable data from real-world corpuses.
What you will do
- Build detection models for PII, PHI, and quasi-identifiers across free text, logs, structured payloads, and code
- Own the transformation layer: redaction, masking, pseudonymization, tokenization, and format-preserving encryption, chosen per entity and policy