Sr. Applied Scientist- P13N
Core
Building next-generation machine learning systems to power personalized shopping experiences and help customers find products on Amazon.
Role type
Senior Applied Scientist (Generative AI & Personalization)
Builds
Deep learning models, reinforcement learning systems, and scalable industrial ML infrastructure for e-commerce.
Domain
E-commerce, Personalization, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, Neural network modeling, Large-scale distributed systems, Python, Java, C++, Sequence models, Transformers, MABs
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop
Technologies
Python, Java, C++, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Ideate and influence the science roadmap for personalized shopping experiences, apply state-of-the-art research to production, build scalable industrial systems, develop models using deep learning and reinforcement learning.
Seniority
Senior, hands-on IC
