Deep Learning Scientist Intern — Multimodal & LLM Research

NVIDIA Corporation; Santa Clara (CA); On-site; USD 28,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking a Deep Learning Scientist Intern to design and develop large language models, multimodal LLMs, and agentic AI systems.

You will train and evaluate models across text, vision, speech, audio, and video, apply reinforcement learning, and collaborate with researchers and engineers to scale ideas.

The internship includes benefits and hourly pay; applications close on November 8, 2026.

Qualifications

• Pursuing MS or PhD in CS, EE, AI, or applied math.
• Strong knowledge of ML/DL techniques and modern foundation models.
• Experience with large language or multimodal models is a plus.

Responsibilities

• Research and develop large language models and multimodal foundation models.
• Apply reinforcement learning methods for agentic reasoning and planning.
• Prototype architectures and training strategies, collaborate with researchers.
• Train, fine-tune, and evaluate models across text, vision, audio, and video.
• Scale successful ideas with engineers using distributed frameworks.

Skills

Python programming

Deep learning

Transformers

Education

MS/PhD in CS/EE/AI

Tools

PyTorch

NeMo

Megatron-LM

TensorFlow

Job description

NVIDIA is seeking a Deep Learning Scientist Intern to design and develop large language models, multimodal LLMs, and agentic AI systems.

You will train and evaluate models across text, vision, speech, audio, and video, apply reinforcement learning, and collaborate with researchers and engineers to scale ideas.

The internship includes benefits and hourly pay; applications close on November 8, 2026.