Applied Scientist - Automatic Speech Recognition

8 months ago
Job ID
Evi Technologies Limited
Position Category
Software Development

Job Description

You: “Alexa, I’m looking for a job where I can build products straight out of science fiction.”
Alexa: “I have found matching jobs for you in the Alexa Speech team in Cambridge, UK. What role are you looking for?”
You: “I’d like to work on making you even smarter than you are today.”
Alexa: “Wonderful. There are multiple roles in Cambridge where you can do that, here are the details … “

Interested in Amazon Alexa? The Speech and Language Technology team aims to create a delightful experience for Amazon’s customers by making Alexa understand any spoken request quickly and accurately. 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). As a scientist on the team, your role is to design these methods and bring them to the millions of customers who use Alexa every day.

Basic Qualifications

  • Graduate degree (Masters or 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, Automatic Speech Recognition
  • Good coding skills. Experience in Python or Java is a plus;
  • Good communication skills and the ability of working in a team.

Preferred Qualifications

  • Explicit (industry or academic) experience with natural language understanding, speech recognition or dialogue management
  • Academic record of refereed publications in top tier conferences or journals
  • Expertise any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing
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