Applied Scientist: Fraud Risk ML Systems
Listed on 2026-10-20
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Services LLC is seeking a highly skilled Machine Learning Scientist to join the Buyer Risk Prevention (BRP) team. The role focuses on building scalable risk management models using ML and GenAI, analyzing terabytes of historical data to identify risk trends, and delivering end-to-end model implementations in collaboration with software and operations teams.
Qualifications include 3+ years of model-building experience or a PhD with relevant experience, plus proficiency in
Join us at Amazon Inc. as our next Applied Scientist:
Fraud Risk ML Systems in Austin, TX, United States.
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This posting is for the Applied Scientist:
Fraud Risk ML Systems role at Amazon Inc., based in Austin, TX, United States.
We are looking to fill the Applied Scientist:
Fraud Risk ML Systems position at Amazon Inc. in Austin, TX, United States.
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