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Applied Scientist, AWS Payments and Fraud Prevention

Are you passionate about solving complex problems and protecting one of the world’s largest cloud platforms? The AWS Payments and Fraud Prevention team is looking for an innovative Applied Scientist to help keep AWS a safe and trusted envir

Company

Amazon

Location

Seattle, Washington, USA

Status

Open

Posted

2026-09-23T00:00:00+00:00

An applied scientist role on Amazon's AWS Payments and Fraud Prevention team in Seattle, working on-site. The person designs, builds and deploys machine learning models that detect and mitigate fraudulent activity across AWS, analyses large behavioural and transactional datasets, and explores generative AI methods such as large language models, synthetic data and adversarial simulation. The posting asks for a PhD, or a master's degree plus four years of experience, three years building models for business applications, programming in Java, C++, Python, and deep-learning architecture, training and optimisation work.