Applied Scientist, Global Risk Intelligence and Prevention, Seller Abuse Prevention
Core
Lead the development and implementation of advanced AI solutions to detect and prevent marketplace abuse across Amazon's catalog, reviews, financial risks, and competitor abuse.
Role type
Senior Applied Scientist (Risk Intelligence & Prevention)
Builds
Scalable risk detection models and automated enforcement systems for global marketplace integrity
Domain
E-commerce, Fraud Detection, AI/ML
Deliverable
production ML models
Required skills
PhD or Master's in CS/CE/ML, predictive modeling, NLP, LLMs, graph networks, computer vision, anomaly detection, numerical optimization, distributed computing, Java/C++/Python
Preferred skills
Unix/Linux, professional software development
Technologies
LLMs, agents, graph networks, NLP, computer vision, anomaly detection
Responsibilities
Design predictive risk detection models using advanced AI; own end-to-end scientific solutions from quantification to decision optimization; develop interpretability pipelines for model decisions; partner with engineering to deploy models into production; identify emerging abuse vectors and translate investigation patterns into automated systems
Seniority
Senior, hands-on IC
