Sr. Applied Scientist , Personalization
Core
Build state-of-the-art recommendation models to tailor product, program, and content displays on Amazon's retail website, enhancing customer discovery and shopping experience without explicit user input.
Role type
Senior Applied Scientist (Personalization/Recommendations)
Builds
Production recommendation models deployed directly on Amazon's retail website
Domain
E-commerce, Retail, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning methods, Java, C++, Python programming, Business application ML experience
Preferred skills
Large scale distributed systems (Hadoop, Spark), Large scale ML system profiling and debugging, System performance and scalability understanding, Modeling tools (R, scikit-learn, MxNet, Tensorflow)
Responsibilities
Ask research questions about customer behavior, build and run recommendation models on the retail website, mentor Applied Scientists and software development engineers, measure model impact using scientific tools
Seniority
Senior, hands-on IC with mentorship responsibilities