PhD Research Intern: Generative AI & Multimodal Models

NVIDIA Corporation; Santa Clara (CA); On-site; USD 41,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking a PhD candidate for an internship role focused on generative AI, multimodal models, and embodied AI. The position emphasizes conducting advanced research, developing scalable algorithms, and evaluating large-scale models using diverse data sources such as video and robotics inputs.

Ideal candidates will have strong Python and PyTorch skills, a publication track record, and experience in multimodal learning or robotics.

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.

Skills

Python

PyTorch

Multimodal learning

Education

PhD candidate in CS/EE/Robotics

Job description

NVIDIA is seeking a PhD candidate for an internship role focused on generative AI, multimodal models, and embodied AI. The position emphasizes conducting advanced research, developing scalable algorithms, and evaluating large-scale models using diverse data sources such as video and robotics inputs.

Ideal candidates will have strong Python and PyTorch skills, a publication track record, and experience in multimodal learning or robotics.