About the role#
As a Deep Learning Scientist Intern, you will join our team to research and develop the next generation of large language models, multimodal foundation models, and agentic AI systems. You will work on projects that enable machines to understand, reason, plan, and interact with complex environments. This role involves working across text, vision, speech, audio, and video domains to build systems that can solve real-world tasks.
What you'll do#
- Research, design, and develop large language models, multimodal LLMs, and agentic AI systems.
- Train, fine-tune, and evaluate foundation models using methods like supervised fine-tuning, instruction tuning, preference optimization, and reinforcement learning.
- Develop capabilities for reasoning, multimodal understanding, planning, tool use, and multi-step task completion.
- Build and curate high-quality datasets and evaluation benchmarks for performance analysis.
- Prototype new model architectures, training strategies, and inference techniques.
- Collaborate with researchers and engineers to scale successful ideas.
What you'll need#
- Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- Strong knowledge of machine learning and deep learning techniques, including Transformer architectures.
- Experience with large language models, vision-language models, or multimodal models.
- Excellent programming skills in Python and experience with frameworks like PyTorch, NeMo, Megatron-LM, or TensorFlow.
- Experience developing, training, and evaluating deep learning models, including data processing and experiment tracking.
- Demonstrated ability to rapidly prototype, experiment, and evaluate new ideas.
- Background in reinforcement learning for agentic reasoning, planning, tool use, and coding is preferred.
- Familiarity with large-scale model training, distributed frameworks, GPU computing, or inference technologies like vLLM or TensorRT-LLM is a plus.
Location & details#
- Location: Santa Clara, California
- Term: Summer 2027
- Employment: Full-time, on-site
- Compensation: Paid internship
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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