Remote Machine Learning Engineer II, ML Fraud

Summary

Join Affirm's ML Fraud team as a Machine Learning Engineer II and advance our capabilities in detecting and preventing online fraud. Leverage cutting-edge algorithms and proprietary data to outsmart fraudsters while ensuring seamless experiences for genuine customers.

Requirements

• 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 gradient boosting, online learning, and deep learning. Domain knowledge in fraud risk is a plus
• Strong programming skills in Python
• Experience using large scale distributed systems like Spark and Ray
• Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch

Responsibilities

• Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of fraud
• Partner with the ML platform team to build fraud specific ML infrastructure
• Research ground breaking solutions and develop prototypes that drive the future of fraud decisioning at Affirm
• Implement and scale data pipelines, new features, and algorithms that are essential to our production models
• Collaborate with the engineering, fraud, and product teams to define requirements for new products
• Develop fraud models to maximize user conversion while minimizing fraud losses and data costs

Benefits

• 100% subsidized medical coverage, dental and vision for you and your dependents
• Monthly stipends for health, wellness and tech spending
• Competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• An employee stock purchase plan enabling you to buy shares of Affirm at a discount