Nuance

  • Intern - Linguistic Engineer (Speech Scientist)

    Location GER-Aachen
    Job ID
    1-40946
    Category
    Intern - Intern
    Pos. Type
    Intern
  • Company Overview

    Wir bei Nuance ermöglichen es den Menschen problemlos mit ihren vernetzten Geräten und der digitalen Welt zu kommunizieren. Indem wir eine Welt schaffen, in der Menschen auf natürliche und intuitive Art und Weise mit Technik interagieren können, tragen wir dazu bei, dass die Technik dem menschlichen Handeln und Denken immer ähnlicher wird.  

     

    Unsere dynamische Technologie verwendet Analysetools und fortschrittlichste Algorithmen, um Gebrauchsgegenstände zum Leben zu erwecken und somit alltägliche Prozesse zu vereinfachen.  

     

    Werden Sie Teil unseres Automotive team… intelligente Systeme für unterwegs. Unsere Leidenschaft gilt der Entwicklung von intelligenten Interfaces, die es Menschen ermöglichen allein mit Hilfe ihrer Stimme mit ihren Autos, Smartphones und anderen Geräten zu kommunizieren.  

     

     

    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 Automotive 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

    3 month full-time Linguistic Engineering / Speech Science internship for summer 2019 for students pursuing a postgraduate degree in Linguistics or Computational Linguistics.

    The intern will focus on improving automatic speech recognition (ASR) in a variety of German-language products, including smart speakers, mobile apps and televisions. Much of this work will consist of analyzing how our lexica contribute to product performance, and then both proposing and implementing changes to make them more effective.

     

    The successful applicant will have strong Python coding and analytical skills, as well as experience with natural language processing (NLP) techniques. The student will report to one of our senior staff, with oversight from a Linguistic Engineering manager. The intern will meet at least two times per week with their supervisor, and daily via e-mail & ad hoc sessions. Work assignments will have duration of two to four weeks, and formal feedback sessions will be given at the midway point half way and on completion.


    Your responsibilities:

    • Applying linguistic training and NLP techniques to analyze customer field data
    • Uncovering systematic problems in our German lexica and fixing them
    • Defining processes that can be used to improve other languages’ lexica
    • Creating reusable tools in Python to help with these tasks
    • Presenting results of the internship to a wider Nuance research audience
    • Perform tasks related to securing and keeping the products, tools, and processes that you are responsible for securing

     

    Your profile: 

    • Currently pursuing MS or PhD in Linguistics or Computational Linguistics
    • Ability to speak and write German and English fluently and idiomatically
    • Experience in phonetics and phonology, and in NLP
    • Experience with Python and working in a Linux environment
    • Excellent problem-solving and analytical skills

     

    Preferred skills:

    • 2+ years of professional experience
    • Industry or academic experience with large vocabulary speech recognition
    • Excellent team player with effective communication and interpersonal skills

     

    If you are interested in a position that offers professional challenge along with a great work environment, we look forward to receiving your application! 

     

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