Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 4 Algorithms @ 4 NLP @ 4 PyTorch @ 4 GPU @ 4Details
NVIDIA's technology is at the heart of AI revolution, powering self-driving cars, robotics, and voice-powered intelligent assistants globally. This role is part of a diverse applied research team building next-generation Conversational AI systems, focusing on speech recognition, speech synthesis, and natural language processing (NLP). The team has developed pioneering neural models like Jasper, QuartzNet, and CitriNet for Automatic Speech Recognition (ASR) and text-to-speech, along with algorithms for accelerating training on GPU cloud. They contribute to NeMo, an open-source Conversational AI toolkit.
Responsibilities
- Develop new Deep Learning models for ASR, speech synthesis, neural machine translation, and NLP.
- Design new large-scale training algorithms.
- Open-source models via the NeMo conversational AI frameworks.
- Mentor interns.
- Publish research papers at leading speech and NLP conferences.
- Collaborate with universities and research teams.
Requirements
- PhD in Computer Science, Electrical Engineering, or equivalent experience.
- Proven understanding of Deep Learning for NLP or Speech Recognition.
- At least 2 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 reviewers for top speech conferences.
Benefits
- Competitive base salary ranging from $160,000 to $431,250 USD based on location, experience, and similar peers.
- Eligibility for equity and other NVIDIA benefits.
NVIDIA is an equal opportunity employer committed to fostering diversity.