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Amazon Corporate LLC Senior Applied Scientist in Seattle, Washington

We are a passionate team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access.We are looking for a truly innovative and technically strong applies scientist with a background in machine learning and natural language understanding.As a Senior Applied Scientist, you will:* develop models for various natural language processing tasks, including named-entity recognition, natural language inference, sentiment analysis, text summarization, and question answering within in a healthcare context* work closely with product managers to expand the depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps* provide technical and scientific guidance to your team members* ensure that teams are collecting, understanding, and using data to inform every decision that impacts our customers* stay current with advancements and the latest modeling techniques in the field* publish your research findings in top conferences and journalsAbout You:* Problem Solver: Ability to utilize exceptional problem-solving skills to work through different challenges in ambiguous situations.* Doer: You've successfully delivered end-to-end AI/ML projects, working through conflicting viewpoints and data limitations.* Detail Oriented: You have an enviable level of attention to details, and catch things that others miss.* Communicator: Ability to communicate analytical results to senior leaders, peers, and external customers.* Influencer: Innovative scientist with the ability to identify opportunities in a fast-paced and ever-changing environment, and gain support with data and storytelling.Here at Amazon Care, we embrace our differences. We are committed to furthering our culture of inclusion. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well- balanced life-both in and outside of work.Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.* PhD/MS in Computer Science, Machine Learning, Operations Research, Statistics or a related quantitative field* 5+ years of applied research experience in deep learning, natural language processing, or automatic speech recognition* 3+ years of experience in model development, validation, and implementation for business applications* 5+ years of programming experience in Java, C++, Python, or related languageAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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