Description
Q2 is seeking an internship focused on applied machine learning for fraud and abuse detection. The intern will support research into fraud patterns, build and test features for identity, behavior, and transaction fraud, maintain training, evaluation, and inference pipelines, write clean and tested code, and monitor production ML systems. The role requires a current degree in a relevant field, Python and ML framework experience, foundational statistics or probability knowledge, and strong analytical and collaborative skills.
