Sr. Applied Scientist, LLM, Natural Language Shopping, Search Quality
Amazon is seeking a Sr. Applied Scientist specialized in LLMs to transform Amazon Search and Rufus. This role involves innovating with large language models to improve natural language understanding in search queries, analyzing large datasets, and deploying models at Amazon's scale. The ideal candidate will have experience in machine learning, deep learning, and programming in languages like Java, C++, or Python.
Come transform Amazon Search using Large Language Models (LLMs). We are building new approaches to bring in a step change to both Amazon Rufus and Amazon Search. You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”.
Posted June 11, 2026