Nuance

NLP Research Scientist/Engineer - Japanese – Work Location Flexible in North America or Europe

GER-Aachen
Job ID
1-30317
Category
Research & Development - Natural Language
Pos. Type
Full Time

Company Overview

At Nuance, we empower people with the ability to seamlessly interact with their connected devices and the digital world around them.  We are creating a world where technology thinks and acts the way people do by designing the most human, natural, and intuitive ways of interacting with technology.

 

Our nimble technology uses analytics and advanced algorithms to transform the inanimate into animate and reduce complicated processes into simple ones.

 

Join our Mobile team…intelligent systems now ready for the road. We are passionate about developing intelligent interfaces that enable people to talk to their cars, phones, devices, and other smart “things”.

 

Job Summary

R&D in natural language understanding (NLU) for Japanese. Assist in all aspects of planning, developing and maintaining high-quality NLU systems for customers. Job includes new feature development, accuracy improvement, project maintenance, and language-targeted research for improvements.

 

Location: Work in offices in Montreal, Canada or Aachen, Germany preferred (company will arrange immigration and relocation as necessary).  However, we will consider remote working from any location in the time zones of the Eastern US or Europe.

 

Responsibilities:

 

  • Contribute to development of the NLU pipeline, especially for Japanese
  • Development of new features in NLU
  • NLU accuracy improvements
  • Responding to QA and customer reported issues
  • Accuracy checking of annotations
  • Contribute to team effort to improvement of entire NLU system

Qualifications:

 

  • Knowledge of NLP and/or Machine Learning
  • Programming skills (especially scripting to support research experiments)
  • Native or high proficiency in Japanese

Preferred Skills:

  • Natural Language Understanding
  • Machine learning;
  • Python, Java

 

Education: Master’s in Computer Science, Computational Linguistics or related field (or similar work experience)

 

 

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