PhD Research Intern — Generative AI Breakthroughs

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 52,000 - 129,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Research in Santa Clara is seeking a world-class generative AI intern to join the Fundamental Generative AI research team. You will work on large-scale generative AI methods for image, video, 3D, and multimodal data, with opportunities to publish and transfer insights to product groups.

You will collaborate with researchers and product teams, contribute to papers at top venues, and gain hands-on experience in a leading AI organization that pushes boundaries in science and engineering.

Qualifications

• Pursuing a Ph.D. in Computer Science/Engineering, Statistics, or related field.
• Strong publication record at top ML venues (NeurIPS, CVPR, ICLR, ICML, ICCV, ECCV).
• Excellent knowledge of the theory and practice of generative AI.
• Strong knowledge of computer vision, 3D, NLP, or AI for science.
• Excellent programming skills in Python; CUDA/C++ is a plus.
• Knowledge of PyTorch or similar frameworks.
• Excellent communication skills.

Responsibilities

• Research, design, and implement novel, large-scale generative AI methods.
• Publish original research.
• Collaborate with other team members, research teams, as well as product teams.
• Transfer technology to product groups.

Skills

Generative AI

Python programming

Deep learning

CUDA/C++

Communication skills

Education

Ph.D. candidate in Computer Science/Engineering/Statistics

Tools

PyTorch

Python

CUDA

Job description

NVIDIA Research in Santa Clara is seeking a world-class generative AI intern to join the Fundamental Generative AI research team. You will work on large-scale generative AI methods for image, video, 3D, and multimodal data, with opportunities to publish and transfer insights to product groups.

You will collaborate with researchers and product teams, contribute to papers at top venues, and gain hands-on experience in a leading AI organization that pushes boundaries in science and engineering.