Applied Scientist /Winter Internship - Natural Language Processing

internship - full time, unpaid

Amazon
Seattle, WA
Closed
Posted 79 Days ago
Amazon
Seattle, WA
internship - full time, unpaid
Posted 79 Days ago
Closed

Description

Applied Scientist Fall/Winter 2019 Internship - Natural Language Processing Seattle , WA 98113 Amazon is searching for passionate, talented, and inventive researchers currently pursuing a Master's or Doctoral degrees and looking to launch their careers with an industry leader in natural language processing. Do you have a strong machine learning background and want to help build new speech and language technology? Our mission is to push the boundaries in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Dialogue Management (DM), Text-to-Speech (TTS), and Audio Signal Processing (ASP), in order to provide the best-possible experience for our customers. As a NLP Scientist, your work will directly impact our customers in the form of products and services that make use of speech and language technology. You would work independently and as a team member, side-by-side with world experts in speech and language, to solve challenging ground-breaking research problems, on production scale data. We are hiring in all major areas of NLP: ASR, MT, NLP, NLU, TTS, DM, and ASP. Amazon has multiple positions available for NLP Researcher Interns in Seattle, Palo Alto, Boston, New York, Sunnyvale, Manhattan Beach, and Pittsburgh. Internships last 12-20 weeks and start year round. In order to be considered for an internship you need to be enrolled at a university and plan to return for additional school terms prior to graduating. Otherwise, please apply to the NLP Researcher full-time posting if you are graduating within the next year.

Skills

machine learning, signal processing, natural language processing, research, microsoft word, leadership, management, automation, speech recognition, matlab, data analysis, statistics, latex, numerical analysis, mathematical modeling

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