Research Engineer Intern at Nuance
Nuance is the pioneer and leader in conversational artificial intelligence (AI) innovations that bring intelligence to everyday work and life. We deliver solutions that understand, analyze, and respond to people, amplifying human intelligence to increase productivity and improve security. With decades of both domain and AI expertise, we work with thousands of organizations across a wide range of industries.
Check out our team Life at Nuance!
Join our team! At Nuance, we are constantly reinventing how people connect with technology and with each other. Our AI-powered solutions empower organizations to transform “business as usual.” For decades, the world’s leading financial, healthcare, telecommunications, retailers, and government organizations have trusted Nuance to bring them award-winning solutions that deliver more meaningful outcomes and empower a smarter, more connected world. From clinical speech recognition technologies that free physicians to spend more time caring for patients to real-time intelligence that powers billions of customer interactions, we’re deeply committed to helping organizations push the boundaries of what’s possible.
Position summary –
Tools Research team at Nuance develops and maintains Machine Learning (ML) and Deep Learning (DL) toolkits building ASR/NLP models and deep neural networks at large scale. We are looking for an intern who can help us to improve testing infrastructure and coverage for tools related to language model (LM) training. You will learn how a large-scale ML model build workflow works in a practical industrial context and analyze model build code and training workflows.
Principal duties and responsibilities:
- The daily work will involve developing Python code and running testing workflows of LM tools/model builds to:
- Improve testing infrastructure and coverage in LM tools
- Convert/consolidate perl and shell test scripts into python
- Convert lmtools perl scripts into python
- Running ML workflows, populate table of benchmark results for LM tools pipelines
Knowledge, skills and qualifications:
- Education: Bachelor or Master’s degree in Computational linguistics or similar
- Minimum years of work experience: 0
Required skills: -
Preferred skills: -
- Understanding of ML concepts
Nuance offers a compelling and rewarding work environment. We offer market competitive salaries, bonus, equity, benefits, meaningful growth and development opportunities and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our continuing success.
Nuance celebrates diversity and is proud to be an equal employment opportunity and affirmative action workplace. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, military and veteran status, disability, genetics, or any other category protected by law or Nuance policy. If you need an accommodation because of a disability for any part of the employment process, please call 781-565-5086 and let us know.