Applied Scientist II - Personalization, Customer Intent Science
Core
Build next-generation product recommendation engines using Generative AI, LLMs, and machine learning to improve customer shopping experiences.
Role type
Senior Applied Scientist (Personalization)
Builds
Scalable recommendation systems and predictive learning models for Amazon's e-commerce platform.
Domain
E-commerce, Personalization, Generative AI, Large-scale Distributed Systems
Deliverable
production ML models
Required skills
Machine Learning, Natural Language Processing, Computer Vision, Algorithms and Data Structures, Numerical Optimization, Parallel and Distributed Computing, High-performance Computing, Python, Java, C++
Preferred skills
Generative deep learning models (CNNs, GANs, VAEs, NF), Theoretical model application, Patents, Top-tier AI/ML publications
Technologies
LLMs, SLMs, Generative AI
Responsibilities
Design and evaluate highly scalable models for predictive learning; Analyze and extract information from large historical business data; Research and implement novel machine learning and statistical approaches; Work closely with software engineering teams to drive model implementations; Establish automated processes for model development and validation.
Seniority
Senior, hands-on IC