Machine Learning Engineer I, Underwriting

## About the Role Affirm's ML Underwriting team is the core credit decisioning engine powering the buy-now-pay-later platform. As an ML Engineer I, you will develop models that predict default likelihood for loan applications — a critical function at the heart of Affirm's business. This is an entry-level friendly role ideal for career-changers. ## Responsibilities - Develop ML models predicting default likelihood for credit decisioning - Build and improve features for the underwriting ML pipeline - Analyze model performance and identify improvement opportunities - Collaborate with senior engineers on model architecture and deployment - Monitor production model performance and data quality ## Requirements - Bachelor's degree in Computer Science, Math, Statistics, or related field - Proficiency in Python and ML frameworks - Understanding of GLMs, gradient boosting, or deep learning - Interest in credit risk and financial services - Strong problem-solving and analytical skills - Credit risk domain knowledge a plus but not required