Staff Applied Machine Learning Engineer - Fraud & Abuse

Lead and operate production ML decision systems to reduce payment fraud, account takeover, identity abuse, and marketplace risk across Block. Own end-to-end production lifecycle, integrate diverse signals, and collaborate with engineers, risk analysts, compliance, and operations to balance fraud loss with user access, while maintaining high-stakes safety and human oversight.