PhD Research Intern: RL for LLMs

NVIDIA; United States; On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking PhD research interns to push the next generation of language models through reinforcement learning. You will develop RL algorithms for LLMs, experiment with reasoning and alignment, and run large-scale GPU-based studies.

The role emphasizes strong Python, PyTorch, and deep learning experience, with exposure to RLHF, RLAIF, and scalable training pipelines. Internship hourly rates apply, with benefits and a closing date for applications.

Qualifications

• Pursuing a PhD in AI, ML, CS, CE, EE, Math, Physics, or a related field.
• Strong background in reinforcement learning and natural language processing.
• Excellent programming skills, especially in Python.
• Experience with deep learning frameworks such as PyTorch.
• Comfort with experimental research, debugging models, and working with large-scale training pipelines.

Responsibilities

• Develop and prototype reinforcement learning algorithms for large language models.
• Explore methods for improving reasoning, alignment, instruction following, and multi-turn interaction.
• Design experiments to evaluate model behavior, robustness, hallucination, and task performance.
• Implement research ideas in Python and PyTorch, and run experiments on large-scale GPU clusters.

Skills

Reinforcement learning

Natural language processing

Python programming

Experimental research

Debugging models

Large-scale training pipelines

Education

PhD candidate in AI/ML/CS or related field

Tools

PyTorch

Job description

NVIDIA is seeking PhD research interns to push the next generation of language models through reinforcement learning. You will develop RL algorithms for LLMs, experiment with reasoning and alignment, and run large-scale GPU-based studies.

The role emphasizes strong Python, PyTorch, and deep learning experience, with exposure to RLHF, RLAIF, and scalable training pipelines. Internship hourly rates apply, with benefits and a closing date for applications.