About the job
We are seeking an innovative Senior Applied Scientist to join Amazon's Traffic Engineering organization in developing next-generation bot detection and mitigation capabilities. You will lead the scientific development of real-time anomaly detection systems to identify and counter sophisticated automated threats, including LLM-powered agents, protecting Amazon's websites and subsidiaries worldwide.
Responsibilities
Design and develop advanced ML models for real-time detection of programmatic access patterns and anomalous behaviors
Pioneer new approaches in identifying LLM-based agents and emerging automated threats
Drive innovation in applying ML/AI techniques to traffic analysis, classification, pattern recognition and automated response systems
Collaborate with cross-functional teams to implement layered defense strategies
Mentor junior scientists and contribute to the team's technical direction
Qualifications
Minimum
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.