About the role#
NVIDIA is looking for a PhD Research Intern to join the Fundamental Generative AI team. You will work on advancing generative AI methods for image, video, 3D, graph, and multimodal data. The team also focuses on AI for science applications including structural biology, chemistry, drug discovery, climate modeling, and weather forecasting. This is a full-time, paid internship.
What you'll do#
- Research, design, and implement novel, large-scale generative AI methods.
- Publish original research findings.
- Collaborate with team members, research teams, and product groups.
- Transfer developed technology to product groups.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Computer Engineering, Statistics, or Electrical Engineering.
- A strong publication record at top machine learning venues like NeurIPS, CVPR, ICLR, ICML, ICCV, or ECCV.
- Knowledge of the theory and practice of generative AI.
- Expertise in computer vision, 3D, NLP, or AI for science.
- Programming proficiency in Python.
- Experience with deep learning frameworks such as PyTorch.
- Strong communication skills.
- C++ and parallel programming experience, such as CUDA, is a plus.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Term: Rolling.
- Compensation: 38 USD to 94 USD per hour, depending on experience and education.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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