Machine Learning Engineer II, ML Fraud - Remote

Overview

Join Affirm’s ML Fraud team as a Machine Learning Engineer II and advance our capabilities in detecting and preventing online fraud. Your work will directly impact Affirm's financial performance by developing sophisticated models for real-time transaction decisions.

In Short

• Develop machine learning models to predict fraud likelihood.
• Partner with the ML platform team to build fraud-specific ML infrastructure.
• Research and develop prototypes for fraud decisioning.
• Implement and scale data pipelines and algorithms.
• Collaborate with engineering, fraud, and product teams.
• Maximize user conversion while minimizing fraud losses.

Requirements

• 2+ years of experience as a machine learning engineer or PhD in a relevant field.
• Proficiency in machine learning techniques.
• Strong programming skills in Python.
• Experience with large scale distributed systems like Spark and Ray.
• Familiarity with machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch.
• Excellent communication skills.
• Ability to present technical concepts effectively.
• Persistence and a strong sense of responsibility.
• Bachelor’s degree in a related field or equivalent experience.

Benefits

• 100% subsidized medical coverage for you and your dependents.
• Generous stipends for technology, food, and lifestyle needs.
• Competitive vacation and holiday schedules.
• Employee stock purchase plan at a discount.