LLM Reinforcement Learning Framework Intern - 2027
NVIDIA is hiring an LLM Reinforcement Learning Framework Intern - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting mentions PyTorch among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 2,600+ other open roles on Level.
- Posted in the last few days.
AI in this role
We are now looking for exceptionally dedicated individuals to join our team as LLM Reinforcement Learning Framework Intern!
At NVIDIA, we are renowned for our continual progress in the fields of graphics and parallel computing. By joining our Architecture group, you will be part of a dynamic team that is spearheading the AI revolution. This remarkable opportunity will allow you to work on innovative projects that extend the frontiers of GPU technology and AI.
What you'll be doing:
- Help NVIDIA Nemo RL to be efficiently working under large scale post train workload.
- Adopt SOTA RL algorithms to Nemo RL.
- Improve RL rollout performance.
What we need to see:
- Having experience with VeRL, Miles, Slime, or Nemo RL is highly beneficial.
- Strong proficiency in programming languages such as Python, C++, or CUDA.
- Ambitious approach with a proven track record of taking initiative and delivering results.
- Experience with PyTorch, RLHF (Reinforcement Learning with Human Feedback), and LLM training frameworks like FSDP/Megatron LLM is a plus.
- Familiarity with agentic RL and inference engine development is preferred.
- Pursuing A degree in Computer Science, Engineering, or a related field
How we rate this
LLM Reinforcement Learning Framework Intern - 2027 at NVIDIA rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used PyTorch hands-on?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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