Senior Research Scientist
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
High value given the role's strategic importance in AI advancements, competitive salary, and the potential impact on conversational AI technology.
- Compensation reflecting expertise in Conversational AI technologies
- Lead innovation in next-generation AI systems
- Growth potential in a prominent tech company
- Requires considerable experience in AI research
Pros
- Attractive compensation for specialized AI research roles
- Opportunity to lead transformative projects in Conversational AI
- Access to advanced resources and collaboration with leading experts
Cons
- Experience may limit the pool of suitable candidates
- Research environment may be pressuring with high expectations
- Potentially substantial workload on complex projects
Who it's for
Senior • On-site
Good fit
- Experienced researchers in NLP and deep learning
- Innovators in AI technology seeking impactful roles
- Candidates eager to contribute to open-source advancements
Not recommended for
- Entry-level professionals without research experience
- Those lacking technical depth in AI fields
- Individuals not interested in high-pressure research environments
Motivation fit
Key skills
About the job
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)
Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition
At least 5 years of research experience in speech recognition or NLP
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.
Applications for this job will be accepted at least until October 31, 2025.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.
