Applied Scientist, PhD New Grad

Build and ship machine learning models for fraud detection and financial risk, owning the full ML lifecycle from research and feature engineering to production deployment and monitoring. Role can be remote within the U.S. with preference for Austin, San Francisco, or New York, and involves collaboration across engineering, risk operations, and data acquisition teams.