Staff Machine Learning Engineer, Fraud Intelligence R&D

## About the Role Research-driven ML engineer advancing fraud detection at PayPal's global scale. Design, prototype, and productionize cutting-edge decision models for identity verification, onboarding, authentication, and abuse prevention. Bridge applied research and large-scale engineering with novel approaches in anomaly detection and continual learning. Requires 5+ years relevant experience. ## Responsibilities - Design and prototype cutting-edge fraud detection models - Productionize ML models for identity verification and authentication - Advance anomaly detection and continual learning approaches - Bridge applied research and large-scale engineering - Collaborate with cross-functional teams on abuse prevention ## Requirements - 5+ years relevant ML engineering experience - Expertise with ML frameworks (TensorFlow, scikit-learn) - Experience with anomaly detection and supervised learning - Knowledge of continual learning and model deployment - Bachelor's degree or equivalent