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The role involves designing and managing distributed services for real-time customer support automation using machine learning. The engineer will solve technical challenges, collaborate with cross-functional teams, ensure high-quality code, and contribute to development capabilities. They will have autonomy in research and are expected to own solutions from design to operation.

As a Staff Machine Learning Engineer in the Risk team, you'll develop ML models to detect fraud in real time, collaborate with cross-functional teams, and enhance modeling capabilities. You'll leverage your expertise in ML algorithms and data analysis while mentoring others.