Do you want to be part of an initiative that is aiming to help change customer shopping behavior on Amazon? The Ask team wants to build engaging customer experiences on Amazon Search and on the Detail Page with a single vision - invest in the right machine learning intelligence to help answer customer questions and provide them the right guidance during their shopping journey. We want customers to begin their shopping exploration on Amazon, not on a search engine.
We are looking for an Applied Scientist to research and apply ML solutions to a number of innovative initiatives planned and to help drive the productionalization of these models at Amazon Search and Detail Page scale. As a part of this role, you will be developing solutions for NER, parsing, NLU and own interfacing with the Information Retrieval, NLP/NLU, and HCI research communities to advance the state of the art and the state of Amazon's business in extracting knowledge and information from diverse types of unstructured, semi-structured, and structured community contributions. You will be an advocate for prioritizing innovative technology-driven and research-driven experiences in our most visible surfaces. The ideal candidate will be an expert in the area of Machine Learning (ML) in general and NLP specifically and will have a strong record of delivering results.
We are moving fast to change the way customers shop on Amazon. As an Applied Scientist, you will help tackle a variety of technical challenges and mentor a growing team of engineers and scientists. Together with a multi-disciplinary team of scientists, senior engineers, and senior product managers you will work on building engaging experiences for customers with NLP and ML at its core. Along the way, you'll learn a ton, have fun and make a positive impact on millions of people.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.