Job Description

Impact

As a Senior Machine Learning Engineer on our Fraud Detection & Risk Assessment Data Science team, you will design, build, and deploy cutting-edge ML systems that protect millions of users and multiple product lines from evolving fraud and risk threats. You’ll work with complex, high-volume data streams to develop models and infrastructure that identify anomalies, assess risk, and enable real-time decisioning across our ecosystem.

Collaborating closely with Product, Fraud Operations, Engineering and Data Science teams, you will translate business risk signals into robust machine learning pipelines—improving the accuracy, efficiency, and impact of our fraud detection systems. The ideal candidate brings deep technical expertise, strong engineering discipline, and a passion for applying ML to real-world risk problems. You thrive in a fast-paced environment and are excited to influence ML strategy and best practices across the organization.

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