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NLP Jobs at Nuance

By being hired into one of our NLP jobs at Nuance, you’ll be a key member of the Nuance team. Professionals in NLP careers come from a variety of backgrounds, bringing an assortment of knowledge and skills to every area of our business. Please click on your desired NLP job below to learn more about the exact qualifications.
A job in NLP at Nuance may be waiting for you!

List of open positions in NLP
Job Title Location Date
Senior NL Research EngineerBurlington, MA10/29/2014
NLU EngineerAachen, Germany09/29/2014
Senior Research Scientist Language ModelingBurlington, MA09/20/2014
NLU Software EngineerMontreal, QC, Canada08/25/2014
NL Research EngineerCambridge, MA08/22/2014

Recent Jobs

NLU Engineer - Aachen, Germany
Description: Responsibilities: Position Summary: Development of language resources for NLU, to be used in projects for Automotive customers. Includes among others grammar engineering, data creation, training & testing statistical models, systematic processing optimization. Principal Duties and Responsibilities: The NLU Applications Research unit develops language resources, tools, and end-to-end system solutions for multi-modal na...
Reference Code: 1-12310
Senior Research Scientist Language Modeling - Burlington, MA
Description: Responsibilities: Conduct experiments to assess the quality of language models and study the effect of language modeling variants and ancillary natural language processing (NLP) technology (e.g. punctuation prediction, language ID, compounding, etc.) on speech recognition accuracy Stay current with trends in research by reading relevant publications and attending conferences Analyze field data in order to identify areas o...
Reference Code: 1-13723
Senior NL Research Engineer - Burlington, MA
Description: Responsibilities: This research will focus methods to improve a component that normalizes clinically relevant facts from physician documentation into one of several clinical ontologies (RXNORM, SNOMED, etc.) This research will be conducted in the context of building a scalable, commercializable medical fact extraction system on top of available in-house resources and technologies - such as Ontologies, parsers , taggers, e...
Reference Code: 1-13897

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