NVIDIA's technology is at the heart of AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants! Join a diverse applied research team that is building a next generation of Conversational AI systems! We work on new models for speech recognition, speech synthesis, and natural language processing. Our team crafted Jasper, QuartzNet, CitriNet and other innovative neural models for ASR and text-to-speech. We also developed algorithms to accelerate training large models on our GPU cloud. We release new models as part of NeMo - open-source toolkit for Conversational AI used by many companies for such applications as customer service, voice assistants, etc. We collaborate with research and product teams, as well as researchers from top academic machine learning labs.
What you'll be doing:
Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language
Design new large scale training algorithm
Open-source models using NeMo conversational AI frameworks
Mentor interns
Publish research papers on top speech and NLP conferences
Collaborate with universities and research teams.
What we need to see:
PhD in Computer Science or Electrical Engineering (or equivalent experience)
At least 5 years of research experience in speech recognition or NLP
Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition
Excellent Python programming skills
Experience with PyTorch
Strong publications record
Ways to stand out from the crowd:
Contribution to open-source projects
Being reviewers for one of the top speech conferences
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.