Working at Amazon
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Amazon Scholar Kathleen McKeown takes stock of natural-language processing: where we are, and where we’re going
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Kathleen McKeown is the Henry and Gertrude Rothschild professor of computer science at Columbia University, and the founding director of the school’s Data ...

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Matthias Bethge: Amazon Scholar and self-proclaimed protopian
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Editor’s Note: This interview is an edited and translated version of a story that originally appeared on the Amazon Germany Blog: Day One.Dr. Matthias ...

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Aravind Srinivasan: Amazon Scholar focuses on combinatorial optimization, algorithms, and AI
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Aravind Srinivasan is a distinguished university professor and professor of computer science at the University of Maryland, College Park. Srinivasan’s ...

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Emine Yilmaz: An Amazon Scholar advancing the state of the art in voice shopping
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Emine Yilmaz is a computer science professor at the University College London (UCL) and a faculty fellow at the Alan Turing Institute. Her research ...

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How distinguished scientist Garrett van Ryzin is optimizing his time at Amazon
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Amazon announced in August 2020 that Garrett van Ryzin would be joining the company’s Supply Chain Optimization Technologies (SCOT) organization as a ...

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For Neha Rungta, it’s the journey that matters
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Neha Rungta is a senior principal applied scientist in the Automated Reasoning Group with Amazon Web Services (AWS), working on formal verification ...

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Can computational linguists find a home in the technology industry?
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Editor’s Note: Christos Christodoulopoulos is a senior applied scientist within the Alexa Knowledge team based in Cambridge, UK. His research focuses on ...

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How Rajeev Rastogi’s machine learning team in India develops innovations for customers worldwide
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As vice president of machine learning at Amazon India, Rajeev Rastogi is helping his team drive innovations that have a profound impact not only on shoppers ...

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How Michelle K. Lee plans to help businesses tap into the potential of machine learning
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Across many industries, machine learning is emerging as a critical technology for solving complex, real-world problems. From using data to predict health ...

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From intern to applied scientist: How Theodore Vasiloudis made the transition
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In the early days of purchase data analysis, a study determined that people often bought diapers and beer together. When Theodore Vasiloudis, then a ...

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