Staff ML Security Detection Engineer

SoFi is seeking a Staff Security Detection Engineer to design and deploy ML-driven anomaly detection across large security data lakes and streaming pipelines. You will own the model lifecycle from feature engineering to validation, working closely with SOC and Fraud teams to deliver high-confidence detections at scale. You will operationalize models, tune signals from identity, endpoint, network, and cloud telemetry, and contribute to governance, runbooks, and threat-hunting improvements. #J-18808-Ljbffr