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Spoken Language Scientist - Intern

Spoken Language Scientist - Intern

Job ID 
585409
# Positions 
1
Company/Location (search) 
UK-Cambridge
Posted Date 
10/24/2017
Position Category for Posting 
Software Development
Recruiting Team 
..

Job Description

Interested in Amazon Alexa? The Alexa Machine Learning team aims to create a delightful experience for Amazon’s customers by making Alexa understand any spoken request quickly and accurately. As an intern on the team you will collaborate closely with experts in machine learning and human language technology, and contribute to advancing the state of the art in human language understanding systems.

We’ve solved many complex problems to get to where we are today, but there are still plenty of challenges ahead of us, and Alexa is getting smarter every day. The problems we solve in the Cambridge Speech & Language Technology team help Alexa get smarter by understanding the different ways people talk and by responding in the most natural way possible in multiple languages.

This will require methods that lie beyond the cutting edge academic and industrial research of today, at internet-level scale, in automatic speech recognition (ASR) and natural language understanding (NLU).

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Basic Qualifications

  • You should be enrolled on a PhD in Computer Science, Engineering, Mathematics, Computational Linguistics, or a related field
  • Knowledge of a relevant field of research, such as machine learning, statistical modelling, natural language understanding, machine translation, speech recognition
  • Computer programming skills
  • Experience using Unix/Linux
  • Excellent written and verbal communication skills

Preferred Qualifications

  • Explicit (industry or academic) experience with natural language understanding, speech recognition or dialogue management
  • Be an avid programmer, with extensive expertise in Python and/or Java
  • Expertise any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing
  • Experience in professional software development