Join Amazon's Buyer Risk Prevention (BRP) team, recognized as #1 in eCommerce Fraud and Abuse Prevention. This role within the Buyer Abuse Engineering Team focuses on protecting Amazon's businesses from customer abuse while maintaining exceptional customer experience. You'll be working on sophisticated systems that save tens of millions of dollars annually using cutting-edge technology including machine learning, statistical modeling, and big data analytics.
The team builds highly scalable, flexible, and distributed systems that leverage data to compute predictive variables, build ML models, and prevent abusive transactions. You'll be part of a team that constantly innovates to stay ahead of evolving abuse patterns and protects both Amazon and its customers.
The position requires strong software development skills and experience with distributed systems. You'll work with cloud computing services and build systems that handle hundreds of millions of transactions globally. The role combines technical expertise with business impact, as your work directly contributes to preventing fraud and maintaining trust in Amazon's customer-first policies.
This is an excellent opportunity for engineers passionate about solving complex problems at scale, working with big data, and applying machine learning in a real-world context. You'll join a team that values innovation, technical excellence, and customer trust, while having a direct impact on Amazon's bottom line through fraud prevention.