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”.
To strengthen its text-to-speech research and development team in Merelbeke (Belgium), Turin (Italy) or Aachen (Germany), Nuance Communications is looking for a computational linguist or a data scientist with a strong background in data driven text analysis techniques and linguistic tools development.
You will work on one or more linguistic data components such as text normalization, morphological analysis, syntactic analysis, language identification, cross-lingual mapping, phonetic transcription generation or symbolic prosody prediction. You will advance the state of the art by leveraging large corpus analysis, machine learning, semantic tagging, document structure analysis, and crowd-sourcing. A part of the job is also to maintain legacy systems. That may include debugging, understanding and enhancing linguistic rules or a coordination of lexicon and other language resources collection projects.
We offer a dynamic international work environment with stable growth and a global customer base. You will learn about the latest innovations in speech technology and work on Nuance’s flagship text-to-speech system, Vocalizer, which is deployed in most cars and mobile devices sold today and supports over 50 languages.
Summary: Nuance R&D has an open position for a computational linguist with machine learning and data analysis experience to advance the state of the art in areas like prosody prediction or multilingual handling in the Vocalizer text-to-speech system.
Number of Years of Work Experience: 2+ years of work experience is a strong plus, but promising new graduates are also encouraged to apply
Education: MSc degree in computational linguistics, computer science, or equivalent