Sr. Applied Scientist - LLM Agents, Retail Pricing Science
As a Senior Applied Scientist specializing in Large Language Models (LLMs) and Agents, you will lead the development and deployment of machine learning solutions to enhance product understanding and influence retail pricing science. This role involves leveraging advanced LLMs and multimodal models, leading research projects, and collaborating cross-functionally to impact Amazon's core business.
As a Senior Applied Scientist specializing in Large Language Models (LLMs) and Agents in the Product Intelligence team, you will lead the development of machine learning solutions. Your work will leverage the latest LLMs and multimodal models to enhance product graphs, measure entity similarity, perform entity linking, and attribute normalization, and apply advanced reasoning methods for a deeper understanding of products. You will also lead research projects to tackle unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication.
This high-impact role is critical to our core business, influencing the reliability of information for billions of products on Amazon's platform, and impacting the shopping journey for hundreds of millions of customers. The systems you build will be used to monitor Amazon's entire product selection to ensure their quality, the availability of accurate price distributions, and more.
We seek an experienced scientist with deep knowledge of LLMs and Agents, and a good understanding of traditional machine learning and quantitative methods. The role will also require cross-functional collaboration skills, and staying up to date with the latest advancements in Generative AI.
Posted June 11, 2026