Fraud-Detection ML Scientist
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IT/Tech
Job Description & How to Apply Below
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
We are looking to fill the Fraud-Detection ML Scientist position at Amazon Inc. in NJ, United States.
For the Fraud-Detection ML Scientist position at Amazon Inc., we are reviewing applications now.
Step into the Fraud-Detection ML Scientist role at Amazon Inc. in NJ, United States and grow with us.
Please review the full job details above before applying.
If your experience matches this role, we encourage you to apply.
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