Applied Scientist, Catalog System Services Science
Core
Building state-of-the-art GenAI algorithms and models to enrich product information and infer relationships across billions of products in Amazon's catalog.
Role type
Senior Applied Scientist (GenAI & Multimodal Learning)
Builds
Next-generation agentic shopping experiences and catalog services
Domain
E-commerce, Large-scale Information Retrieval, Generative AI
Deliverable
production ML models
Required skills
GenAI, multimodal learning, large-scale deep learning, LLMs, algorithm design, end-to-end ML pipeline ownership, explainable AI
Preferred skills
multimodal LLMs, post-training techniques, top-tier research publications
Technologies
Java, C++, Python, Frontier Models, Agentic Architectures
Responsibilities
Formulate novel research problems at the intersection of GenAI and information retrieval; Design and implement leading models leveraging frontier models; Pioneer explainable AI methodologies; Own end-to-end ML pipelines from ideation to production; Represent the team in the broader science community
Seniority
Senior, hands-on IC