Description
Are you a scientist who wants to define how AI remembers people, their loved ones, their unique preferences, and the moments that matter? Are you passionate about NLP, large language models, information retrieval, and entity understanding? Do you want to build systems that learn who the people in a customer's life are, what each of them cares about, and retrieve the right knowledge at the right moment? Do you want access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems? If any of this excites you, we'd love to talk.

Our team is part of Amazon's Personalization organization, building the memory layer that powers how Amazon understands and personalizes for individual customers and their household members. We work at the intersection of NLP, LLMs, entity resolution, and retrieval — disaggregating preferences for each and every customer and their loved ones, and surfacing the most relevant knowledge to power...