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Amazon Corporate LLC Applied Scientist, Home Innovation Team in Seattle, Washington

"Amazon Science gives you insight into the company's approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work."Please visit https://www.amazon.science for more informationAre you an inventor interested in the latest research in machine learning and computer vision? Do you want to define the next generation of machine learning and computer vision algorithms? Do you wish you had access to large datasets, resources and great colleagues? Answer yes to any of these questions and you'll fit right in here at Amazon.HIT is a new group of seasoned scientists, engineers, product managers, and designers determined to redefine how our customers purchase products for their home. We believe that the objects that we choose to surround ourselves with have a huge impact on our quality of life. Not only they need to be useful, but they need to be beautiful, reflect our style, bring joy and make us proud. Imaging is an important component. In HIT we aim to solve customer problems, in part, through inspiring imaging.We are looking for a hands-on researcher, who is able to derive, implement, and test a large range of novel computer vision and machine learning algorithms. The research we do at HIT is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish cutting edge research.The ChallengeAs with every project within Amazon, we work backwards from our customer's needs and the challenges they have. Our team works on some of the latest and most important problems in ML and CV.The technologyIn order to achieve our vision, we think big and tackle technology problems that are cutting edge. Where technology does not exist, we will built it. Where it exists we will need to modify it to make it work at Amazon scale. As the problem is so wide and the team new, we need members who are passionate and willing to learn:* Computer vision and machine learning. If you are passionate about these areas, join us.* Amazon scale systems. Our algorithms need to work at Amazon scale, serving hundreds of millions of customers with millisecond level latencies.* Big data and analytics. Amazon is data driven and a strong data backbone is necessary in our systems. We build upon core AWS services. If you are interested in gaining expertise, join us.* Personalization and machine learning. All technologies will be used in experiences adapted to what customers need, want or prefer.* Work on multiple platforms typically used in computer vision and machine learning research.Our Culture and YouWe are a tightly net group that shares our experiences and help each other succeed. We believe in team work. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. The most successful members of our team are obsessed with helping our customers in creative ways, and bring clarity to ambiguity through data driven experimentation. If that sounds like an environment you like, join us.Major responsibilities:* Derive computer vision, machine learning, and analytical techniques for intelligent information retrieval/classification system to solve business problems.* Design, develop and deploy highly scalable computer vision and machine learning models.* Analyze and understand large amounts of Amazon's historical business data.* Working closely with softwar

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