Deep Learning Scientist Intern, LLM, Multimodal, and Agentic AI - Summer 2027

Details

NVIDIA is looking for interns to help build the next generation of large language models, multimodal foundation models, and agentic AI systems. These intelligent systems can understand, reason, plan, interact with people, and take actions. LLMs and multimodal models can process and generate text, vision, speech, audio, and video while interacting with tools and complex environments to solve real-world tasks.

Responsibilities

• Research and develop large language models, multimodal foundation models, and agentic AI systems across text, vision, speech, audio, and video.
• Develop, train, fine-tune, and evaluate foundation models using supervised fine-tuning, instruction tuning, preference optimization, reinforcement learning, and related post-training techniques.
• Develop and evaluate capabilities including reasoning, multimodal understanding, planning, tool use, conversational interaction, and multi-step task completion.
• Build and curate high-quality datasets and evaluation benchmarks for model training, post-training, and performance analysis.
• Prototype new model architectures, algorithms, training strategies, and inference techniques, and collaborate with researchers and engineers to scale successful ideas.

Requirements

• Pursuing an MS or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, or a related field.
• Strong knowledge of machine learning and deep learning techniques, algorithms, and modern foundation model architectures, including Transformers.
• Experience or exposure to large language models, vision-language models, or multimodal models, with an emphasis on reinforcement learning for agentic reasoning, planning, tool use, and coding.
• Excellent programming skills in Python and experience with deep learning frameworks such as PyTorch, NeMo, Megatron-LM, TensorFlow, or related frameworks.
• Experience developing, training, fine-tuning, or evaluating deep learning models, including familiarity with data processing, dataset development, experiment tracking, and model evaluation workflows.
• Strong problem-solving skills and a demonstrated ability to rapidly prototype, experiment, and evaluate new ideas.

Preferred Qualifications

• Experience with large language models, multimodal foundation models, vision-language models, or agentic AI research and development.
• Background with post-training techniques such as instruction tuning, preference optimization, RLHF, RLVR, GRPO, or related reinforcement learning methods.
• Experience with multimodal reasoning across text, image, video, speech, or audio, including conversational or audio-language models.
• Experience with reasoning, planning, tool use, function calling, or multi-step agentic systems.
• Background with large-scale model training, distributed frameworks such as NeMo or Megatron-LM, GPU computing, or inference technologies such as vLLM or TensorRT-LLM.

Benefits

Interns are eligible for NVIDIA intern benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until November 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.