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All roles / NVIDIA / Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026

Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026

Post-Training & RL5mo ago
Source verified: this exact posting was present on NVIDIA’s careers feed on . View employer source →

What the posting asks for

Names
PyTorch, Python
Doctorate
Mentioned, without saying whether it is needed

Read out of the employer's own description. Absence means the posting does not say, not that the answer is no.

The role

We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped pioneer projects such as Megatron, MT-NLG, and DLSS. We build state-of-the-art foundation models and develop new methods to improve their reasoning, alignment, reliability, and ability to solve real-world tasks.

This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models. You will design, implement, and evaluate new RL-based methods for improving LLM behavior, with a strong emphasis on hands-on experimentation and rapid prototyping at scale.

What you will be doing:

  • 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

What we need to see:

  • 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

Ways to stand out from the crowd:

  • Publications or open-source contributions in RL, LLMs, alignment, reasoning, or post-training

  • Experience with RLHF, RLAIF, policy optimization, reward modeling, or agentic LLM systems

  • Strong intuition for both algorithms and large-scale implementation

If you are excited about using reinforcement learning to make language models more capable, reliable, and useful, this team could be a great fit.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.


You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until May 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Published by NVIDIA on their own careers page and reproduced here unedited. Read it at NVIDIA.

Apply at NVIDIA → Applications go directly to NVIDIA. This board does not sit in between, take a fee from you, or see your application.

What this listing does not tell you

Listed 156 days, which is longer than most. Of the 40 post-training and RL roles this board has watched from listing to removal, 63% were gone from their employer's careers page by day 156, and the median came down after 110 days. That is a description of other listings that have already ended, not a prediction about this one: this board records when a listing disappears, never why, and a posting still up is not on a clock it can see.

Pay is not confirmed for this role. Check the employer’s posting for current compensation. Explore published bands from other roles →

NVIDIA has 22 roles open on this board, 8 of them in post-training and RL. 2 of those do publish a band, which you can compare; pay can differ by role and location.

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