Deep Learning Scientist Intern: LLMs & Multimodal AI

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 28.000 - 129.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Intern benefits

Descripción de la vacante

NVIDIA Corporation in Santa Clara, CA, seeks a Deep Learning Scientist Intern to research, design, and develop large language models, multimodal foundation models, and agentic AI systems. You will apply ML/DL techniques across text, vision, speech, audio, and video to advance foundational models.

This internship offers hourly pay based on location, degree, and experience, with intern benefits and an application deadline of 2026-11-08. NVIDIA is an equal opportunity employer and values diversity.

Formación

• Pursuing an MS or PhD 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.

Responsabilidades

• As a Deep Learning Scientist Intern, you will work on research, design, and development of large language models, multimodal LLMs, and agentic AI systems.
• You will use machine learning and deep learning techniques across language, vision, speech, audio, and video to develop and improve next-generation foundation models.
• 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.

Conocimientos

ML/DL foundations

Python

PyTorch

Reinforcement learning

Agentic AI

Transformers

Multimodal models

Rapid prototyping

Educación

MS/PhD in CS/EE/AI/Applied Math

Herramientas

PyTorch

NeMo

Megatron-LM

TensorFlow

vLLM

TensorRT-LLM

Descripción del empleo

NVIDIA Corporation in Santa Clara, CA, seeks a Deep Learning Scientist Intern to research, design, and develop large language models, multimodal foundation models, and agentic AI systems. You will apply ML/DL techniques across text, vision, speech, audio, and video to advance foundational models.

This internship offers hourly pay based on location, degree, and experience, with intern benefits and an application deadline of 2026-11-08. NVIDIA is an equal opportunity employer and values diversity.