Description
Amazon is hiring a Machine Learning Engineer to build machine learning pipelines, agentic-AI applications, knowledge and memory systems, evaluation workflows, and production tooling for fraud detection across Amazon Finance Operations. The role partners with applied scientists, software engineers, and finance operations teams to develop scalable systems that process terabytes of data, score billions of dollars in transactions, and turn fraud patterns into production detection logic. Candidates need at least three years of professional software development experience, two years of design or architecture experience, and programming experience; machine learning, data processing, and related experience are preferred.
