Join Affirm as a Senior Machine Learning Engineer in Fraud, working remotely from Canada. Your role will focus on creating advanced ML systems for transaction decision-making.

You will take charge of developing and improving fraud detection models on the ML Fraud team. With extensive experience in machine learning, you'll partner with engineers and product teams to prototype and deploy systems that protect users while maintaining conversion rates.

Key Responsibilities: • Lead the creation of innovative fraud prediction models • Develop feature pipelines from diverse data sources • Experiment, deploy, and manage high-performing models • Ensure operational robustness and low latency in models • Track model health and adapt to changing fraud trends

Requirements: • 6+ years in ML model development and deployment • Strong Python and production-level coding skills • Experience with tabular data models and deep learning tools • Exposure to distributed data framework...