GenAIR Group
Fundamental Generative AI Research (GenAIR) Group
Welcome to the homepage of NVIDIA’s Fundamental Generative AI Research (GenAIR) group, led by Arash Vahdat. We are part of the Learning and Perception Research (LPR) organization and mostly focus on generative learning and its applications in different areas. We are particularly interested in:
- Generative AI for Proteins and Molecules: protein generation, binder design, molecule generation and optimization, etc.
- Generative AI for Weather: weather downscaling, forecasting, etc.
- Compositionality and Control: semantic and modular image, video, protein, and molecule generation and editing, etc.
- Fundamental Research: discrete generative models, diffusion models, flow matching, accelerated sampling, equivariant models, etc.
We are currently looking for outstanding candidates to join our team as:
- Generative AI research intern with a background in image, video, or biomolecular generation. Link.
- Generative AI research scientist with a background in biomolecular design. Link.
For general inquiries, you may email your resume to genair-openings@nvidia.com. Kindly note that we may not be able to respond to all inquiries via email.
