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,
· Master's degree in Computer Science or equivalent · 2-5+ years experience applying Data Science · Solid background in IR and statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, etc.) · Solid programming skills in at least one programming language (Java, Python, etc.) · Strong verbal and written communication skills· PhD in Natural Language Processing, Machine Learning, Information Retrieval, or related area · Experience in one or more of the following areas: deep learning, named entity recognition, entity/relation extraction, semantic search, parsing · Track-record of having developed