Machine Learning Engineer I - Remote

Overview

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

In Short

• Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default.
• 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 essential to production models.
• Collaborate with engineering, credit, and product teams to define requirements for new products.

Requirements

• Proficiency in machine learning with experience in Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
• Strong programming skills in Python and SQL.
• Experience using large scale distributed systems like Spark or Ray is a plus.
• Experience with open source projects like scikit-learn, pandas, NumPy, XGBoost, Kubeflow is a plus.
• Excellent written and oral communication skills.
• Ability to present technical concepts and results appropriately for the audience.
• Persistence, patience, and a strong sense of responsibility.

Benefits

• Health care coverage with all premiums covered for you and your dependents.
• Generous stipends for Technology, Food, and various Lifestyle needs.
• Competitive vacation and holiday schedules.
• Employee stock purchase plan enabling you to buy shares at a discount.