Amazon.com

Earth's Most Customer-Centric Company
Amazon.com, a Fortune 500 company based in Seattle, Washington, is the global leader in e-commerce. Since Jeff Bezos started Amazon.com in 1995 in his garage, we have significantly expanded our product offerings, international sites, and worldwide network of fulfilment and customer service centres. Today, Amazon.com offers everything from books and electronics to tennis rackets and diamond jewellery. As well as America, we operate sites in the United Kingdom, Germany, France, Japan, Canada, Italy, and China (Joyo.com) and maintain over 50 fulfilment centres around the world which encompass more than 26 million square feet.

Amazon.co.uk
Amazon.co.uk, a subsidiary of Amazon.com, was launched in 1998. Today, the site provides fast, convenient service for customers in the UK, Ireland and beyond and offers many customer features, including personalised recommendations, Wish Lists and Amazon.co.uk Marketplace.


Machine Learning Internship - ASR & NLU

Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!
We are looking for Master's and PhD students to join Amazon Research in Aachen for a 3-6 month internship in 2019 to help build industry-leading speech and language solutions to enhance user interactions with our products and provide the best-possible experience for our customers.
As a Research Scientist Intern on our team, you will build and optimize cutting-edge natural language understanding systems and conduct core research aimed at advancing the state of the art. This involves:
• Researching the latest modeling techniques. Understanding trade-offs between competing approaches, and identifying the ones that are likely to have real impact on our customers
• Implementing and/or improving modeling tools, training recipes and prototypes utilizing programming skills in Python and/or Java
• Conducting experiments to assess the quality of language processing modules and to study the effect of different modeling technique
• Analyzing field data in order to identify areas of possible improvement or enhancement of the system.
• Presenting and discussing ideas and results within the team and beyond.



Company: Amazon.com

Location: Uk, cambridge



Online Date: 24-04-2019








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