Description
Affirm is hiring a remote ML Fraud Engineer to build and scale machine learning systems for real-time transaction fraud decisions. The role leads development of tabular, graph, and behavioral models; builds feature pipelines and training datasets; prototypes and productionizes models; monitors model and data health; and collaborates with engineering, fraud analytics, product, and ML platform teams. Candidates need 6+ years of experience at scale, strong Python and production code skills, experience with tabular classification and deep learning, distributed data processing, and ML lifecycle tooling. The role is remote for eligible Canadian provinces and offers a base pay range of $153,000-$213,000 per year plus health, wellness, tech, and equity benefits.
