Staff Machine Learning Engineer, Fraud & Abuse
San Francisco
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 12+ yearsSkills: ["Leadership","Mentorship","Autonomy","Communication","Teamwork","Problem-solving","Collaboration"]Lead the design and deployment of high-scale, real-time ML systems to detect fraud and abuse across Block’s ecosystem. Architect data pipelines, collaborate with product and engineering teams, and continuously improve feature stores, risk signals, and ML-platform practices to protect customers and merchants while enabling seamless user experiences.
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