Machine Learning Engineer II (Fraud)

What you’ll do:

• Develop and iterate on fraud prediction models using a mix of approaches for tabular and behavioral data
• Build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed
• Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls

What we look for:

• You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field.
• Strong Python skills and experience writing production-quality code.
• Experience building and evaluating models for tabular classification problems

Benefits:

• Affirm covers all premiums for health care coverage for you and your dependents
• Generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Competitive vacation and holiday schedules allowing you to take time off to rest and recharge