Sr. Research Scientist - (Language Modelling/Natural Language) - (MSc or PHD)

Job ID
Research & Development - Software Development or Programming
Pos. Type
Full Time

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 Mobile 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 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

Summary: Evaluate the usage patterns of Nuance customers via big data analysis; build models to improve core ASR accuracy of individual products; contribute to the model building codebase, including our deep learning toolkit; and stay current on state-of-the-art algorithms in related fields. Work on challenging research problems that have a concrete impact on real-world applications, such as in-car assistants and home entertainment systems.



• Conducting experiments to assess the quality of language models and study the effect of language modeling variants and ancillary natural language processing technology (such as auto-punctuation) on speech recognition accuracy.
• Identifying, optimizing, and clustering training data.
• Analyzing product usage data to identify areas of possible improvement or enhancement of language modeling process, method, and NLP techniques.
• Implementation of improved training recipes and NLP prototypes utilizing C/C++, Perl, and Python.
• Discussing and presenting ideas, progress, and results within the research team
• Improving language modeling performance in multiple languages.



Required Skills:

• MS or PhD, with 2+ years of professional development experience preferred
• Background in speech technology, statistical machine translation, or natural language processing
• Excellent programming skills (C/C++, Python) with knowledge of standard data structures and algorithms
• Experience using Unix/Linux and shell scripting
• Solid written and oral communication skills (English)


Preferred Skills:

• Explicit (industry or academic) experience with large vocabulary speech recognition
• Expertise in one or more of the following areas: machine learning, statistical modeling, deep learning, numerical optimization, data mining, algorithm design, software engineering, computational linguistics


Education: Advanced degree (Masters or PhD) in computer science, computational linguistics, applied mathematics, or a related field


Fluent German speaker is required.

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