Machine Learning Engineer II (ROA + LTV ML)

Responsibilities

• Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
• Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
• Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
• Implement and scale data pipelines, new features, and algorithms that are essential to our production models
• Collaborate with the engineering, credit, and product teams to define requirements for new products
• What we look for
• 2+ years of experience as a machine learning engineer or PhD in a relevant field
• Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus
• Strong engineering skills in Python and data manipulation skills like SQL
• Experience using large scale distributed systems like Spark or Ray

Languages