Machine Learning Engineer - FraudRemote - Americas

Machine Learning Engineer - Fraud Remote - Americas About the role Fraud is adversarial machine learning in the wild. Billions of dollars of GMV, real attackers, real merchants on the line. Shopify Payments needs applied scientists who can both invent and engineer: people who are as comfortable sketching system designs as they are training models, and who know when a simple tree beats a fancy transformer. You’ll join the team building the intelligence layer that protects Shopify’s payments stack. That means everything from classic ML to foundation models built for payments. This is not “call an LLM agent and hope it works.” It’s rigorous modeling, careful system design, and shipping production systems at scale. You’ll work across payments fraud, risk, and trust: spotting abuse before it happens, understanding where our products create exposure, and figuring out how quirks of the global payments ecosystem enable bad behavior—then closing those gaps. If you love cutting-edge methods but reach for the simplest tool that solves the problem, you’ll fit right in. Key Responsibilities

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