Machine Learning Engineer II, ML Fraud

## About the Role Affirm's ML Fraud team builds models that predict fraud likelihood using proprietary and third-party data. As an ML Engineer II, you will develop and improve fraud detection models that protect Affirm's platform and customers across millions of transactions. ## Responsibilities - Develop ML models that predict fraud likelihood across transaction types - Build feature engineering pipelines using proprietary and third-party data - Design and run experiments to evaluate model improvements - Deploy models to production and monitor real-time performance - Collaborate with risk operations and product teams on fraud strategy ## Requirements - 2+ years of ML engineering experience - Proficiency in Python and ML frameworks (scikit-learn, XGBoost, PyTorch) - Experience with production ML systems and model deployment - Understanding of fraud detection or anomaly detection techniques - Strong SQL skills and experience with large datasets - BS or MS in a quantitative field