As a Senior Machine Learning Engineer on the Fraud Risk team at Cash App, you will develop scalable systems and ML-based tools to combat fraud. Your role includes optimizing software systems, collaborating with cross-functional teams, and mentoring other engineers, focusing on automation tools using AWS and Kubernetes within the risk domain.

The role involves designing and managing distributed services to enhance customer support through machine learning. The engineer will collaborate with various teams, solve technical problems at scale, and contribute to the development of the support systems with a focus on high-quality code and automation.

The Lead Machine Learning Engineer will design and maintain ML systems for real-time fraud detection. Responsibilities include collaborating with teams globally, leading experiments, and enhancing existing technologies using state-of-the-art theoretical advancements in machine learning and data engineering.