# Deep Learning Scientist Intern

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Job type**: full-time
**Salary**: 20 USD – 94 USD
**Category**: Data Science
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Deep-Learning-Scientist-Intern--LLM--Multimodal-and-Agentic-AI---Summer-2027_JR2027548?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4045d58e-f59

## Description

Join NVIDIA's team and help build the next generation of large language models, multimodal foundation models, and agentic AI systems.

As a Deep Learning Scientist Intern, you will work on research, design, and development of large language models, multimodal LLMs, and agentic AI systems.

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.

Nice to Have:

- 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:

- Intern benefits

- Expected hourly rate: 20 USD – 94 USD

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## Skills

### Required
- Machine Learning
- Deep Learning
- Python
- PyTorch
- TensorFlow
- Transformers

### Nice to have
- Large Language Models
- Multimodal Foundation Models
- Agentic AI
- Reinforcement Learning
- Post-training Techniques

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Deep-Learning-Scientist-Intern--LLM--Multimodal-and-Agentic-AI---Summer-2027_JR2027548?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)