Senior Principal Research Applications Scientist at Nuance

Responsible for improving core ASR accuracy across 40+ languages for human-to-human and virtual assistant products
Conduct experiments, validate, and release production-quality language models and all-neural ASR models for automatic speech recognition
Analyze product usage data to identify areas of product and model improvement
Implement new algorithms, recipes, and prototypes, utilizing Python and standard deep learning toolkits (TensorFlow, Fairseq, or similar)
Conduct experiments efficiently on a large, distributed research grid
Work directly with multiple internal and external teams to understand their business needs and directly address or advocate for necessary technology improvements
Discuss and present internal and external research within the research team

Education: Advanced degree (Master’s or PhD) in computer science, computational linguistics, deep learning, or a related field

Minimum years of work experience: 10 years

Required skills:

10+ years experience in speech technology, statistical machine translation, or natural language processing
7+ years industry experience with large vocabulary speech recognition
Excellent programming skills (Python) with knowledge of data structures and algorithms
Significant experience using Unix/Linux and shell scripting in a distributed computing environment
Significant experience in large text processing (billions of words), normalization, formatting, and related technology
Solid written and oral English communication skills

Preferred skills:

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
Expertise with deep learning toolkits, such as TensorFlow or Fairseq
Author of multiple patents and/or external publications
Spoken and/or written proficiency in other (non-English) languages