Fraud-Detection ML 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