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.

On the ML Fraud team, you’ll build and improve machine learning systems that make real‑time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross‑functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve.

What you’ll do

• Lead development of new fraud prediction models using a mix of approaches for tabular, graph, 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...