ML Engineer Intern — Fraud Detection & ML Pipelines

Q2 is seeking a curious ML intern in Austin, TX to work on applied analytics and fraud-detection projects. You will join a team shipping ML-powered features across identity, behavior, and transactions, from data pipelines to model evaluation. Ideal candidates are pursuing CS/Data Science/ML degrees and have Python experience; exposure to TensorFlow, PyTorch, or scikit-learn is a plus. Good communication and collaboration are essential.