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. Candidates should be pursuing a degree in a relevant field, have Python and ML framework experience, and understand statistics or experimental methods.
