Senior AI / Machine Learning Engineer — Fraud Prevention

What you’d do

Build and deploy machine learning models for fraud and abuse detection, risk scoring, and anomaly detection, integrating them into real-time decisioning systems. Full time role in San Jose involving feature engineering, model monitoring, and cross-team collaboration. Found on the employer's careers page on Sep 29, 2026. Apply through the link.