Senior Research Scientist - Machine Learning/Deep Neural Networks/NLU (Automotive)

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Senior Research Scientist - Machine Learning/Deep Neural Networks/NLU (Automotive)

Nuance Communications
Country of Position: 
Contact Name: 
Lea Mencner
Subject Area: 
Machine Learning for Signal Processing
Start Date: 
May 08, 2019
Expiration Date: 
July 31, 2019
Position Description: 

We are looking for an excellent Senior Research Scientist in the area of Machine Learning and Deep Neural Networks. You will join our core research team in the Automotive department and help us push the state of the art in Natural Language Processing and related fields, such as Emotion Recognition, Question Answering, and Semantic Parsing. You will contribute to the next generation of our in-car voice user interface and virtual assistant.

Principal duties and responsibilities:

  • You will learn about and keep yourself up-to-date on state-of-the-art in ML, DNN, NLU and related domains.
  • You will design, implement and evaluate new algorithms and contribute to the next generation of our systems.
  • You will interact with researchers to create collaborations where possible. You will contribute to other research areas within the company where relevant.
  • You will learn about other related technologies within the company (e.g., speech recognition, language modelling, dialog systems) in order to improve the end-to-end solution and create synergies.
  • You will help bring your creations to life in our products by interacting with engineering and production teams.
  • Perform tasks related to securing and keeping the products, tools, and processes that you are responsible for securing


  • Minimum years of work experience: 2-4
  • Excellent knowledge and experience in Deep Learning, preferrably in NLU
  • Strong programming skills in Python
  • Solid background in mathematics and statistical modeling
  • You are a team player and are goal-oriented
  • Fluent in English (oral and written)

Preferred skills:

  • Experience contributing to open source Deep Learning packages such as Tensorflow
  • Knowledge of computational linguistics and related concepts
  • Knowledge of related technologies: speech recognition, dialog systems, question answering, emotion recognition, etc.
  • Programming skills in C/C++
  • Knowledge of languages other than English, such as e.g. German, French, Mandarin, …
  • User experience with HPC and grid software
  • Knowledge of embedded platforms
  • Strong publication record in Artificial Intelligence and Machine Learning as demonstrated by publications in relevant conferences such as AAAI, IJCAI, ICML, etc.

Education: PhD in Machine Learning, NLP, or a related field

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