PhD Generative AI Research Intern: Publish & Impact

NVIDIA

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Full time

5 days ago
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites a world-class generative AI intern to join the Fundamental Generative AI research team at NVIDIA Research in Santa Clara. You will research, design, and implement large-scale generative AI methods and publish original work alongside top ML researchers.

The role emphasizes collaboration across teams and transferring technology to product groups, with a strong publication record and a PhD pursuit in related fields as prerequisites.

Qualifications

  • Pursuing a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc.
  • Strong publication record at top ML venues such as NeurIPS, CVPR, ICLR, ICML, ICCV, ECCV, etc.
  • 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; C++ and parallel programming (CUDA) is a plus.
  • Knowledge of common deep learning frameworks, such as PyTorch.
  • 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

Python
C++
PyTorch
Generative AI
Computer Vision
NLP
Communication

Education

Pursuing a Ph.D. in Computer Science/Engineering/Statistics/Electrical Engineering

Tools

CUDA
GPU parallel programming

Job description

NVIDIA invites a world-class generative AI intern to join the Fundamental Generative AI research team at NVIDIA Research in Santa Clara. You will research, design, and implement large-scale generative AI methods and publish original work alongside top ML researchers.

The role emphasizes collaboration across teams and transferring technology to product groups, with a strong publication record and a PhD pursuit in related fields as prerequisites.

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