Fraud-Detection ML Scientist
Listed on 2026-11-01
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Audible is seeking an Applied Scientist to design and deploy scalable ML/DL/NLP solutions that detect and prevent fraud across transactions and content protection workflows. You’ll partner with data scientists, engineers, and business teams worldwide to translate complex fraud signals into actionable risk insights.
The role emphasizes building end-to-end fraud protection systems in an agile environment, leveraging AWS tools and cutting-edge ML techniques to safeguard customers and content
Consider building your career as a Fraud-Detection ML Scientist at Amazon Science.
The advertised compensation is 172..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Fraud-Detection ML Scientist role in the description above.
We appreciate your interest in this position.
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