Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 4 Algorithms @ 4 Hiring @ 4 NLP @ 4 PyTorch @ 4 GPU @ 4Details
NVIDIA's technology is at the heart of the AI revolution, powering applications such as self-driving cars, robotics, and voice-powered intelligent assistants. Join a diverse applied research team building the next generation of Conversational AI systems. The team works on models for speech recognition, speech synthesis, neural machine translation, and natural language processing, and develops algorithms to accelerate training large models on NVIDIA GPU cloud. Models are released as part of NeMo, an open-source toolkit for Conversational AI.
Responsibilities
- Develop new deep learning models for automatic speech recognition (ASR), speech synthesis (TTS), neural machine translation, and natural language processing (NLP).
- Design new large-scale training algorithms.
- Open-source models using the NeMo conversational AI framework.
- Mentor interns.
- Publish research papers at top speech and NLP conferences.
- Collaborate with universities, research teams, and product groups.
Requirements
- PhD in Computer Science, Electrical Engineering, or equivalent experience.
- Proven understanding of deep learning for NLP 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
- Contributions to open-source projects.
- Serving as a reviewer for top speech conferences.
Compensation & Benefits
- Base salary ranges (location- and level-dependent):
- Level 3: 160,000 USD - 258,750 USD
- Level 4: 184,000 USD - 299,000 USD
- Eligible for equity and benefits (see NVIDIA benefits page).
Other information
- Applications accepted at least until October 31, 2025.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.