PhD Research Intern - Generative & Multimodal AI

Socket.dev; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking outstanding PhD interns to help advance Physical AI and world models. You will conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning. Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.

Qualifications

• Currently pursuing a PhD in CS, EE, Robotics, or related fields.
• Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
• Prior publication record and research experience.
• Strong Python and PyTorch skills.

Responsibilities

• Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
• Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
• Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
• Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
• Publish research at top conferences and transfer innovations into NVIDIA products.

Skills

Generative AI

Computer vision

Multimodal learning

Robotics

Reinforcement learning

Python

PyTorch

Education

PhD in CS/EE/Robotics or related

Job description

NVIDIA is seeking outstanding PhD interns to help advance Physical AI and world models. You will conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning. Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.