Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
NVIDIA· Intern
Santa Clara, CA$38/hr - $94/hrinternPosted 5mo ago
About the role
PhD research intern focused on reinforcement learning for large language models, performing algorithmic RL research, prototyping methods, and evaluating LLM behavior at scale.
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
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
Skills
Required:Reinforcement LearningNatural Language ProcessingPythonPyTorch
Benefits
- Intern benefits (see benefits link)
Last updated Oct 16, 2026. Interested? Apply on the company site.
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