ApplySarthiLLM Reinforcement Learning Framework Intern - 2027
Nvidia
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This role on the market
42 open reinforcement roles across 22 companies are on ApplySarthi right now, most of them in Hyderabad (2), Bengaluru (1).
- AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote WorldwideTether Operations Limited
- Research Engineer / Scientist, Reinforcement LearningHarvey
- Reinforcement Learning InternIntuitive
- Lead Applied Scientist, NBA – Reinforcement LearningHumana
- 2027 Machine Learning Center of Excellence - Time Series and Reinforcement Learning (TSRL) - Summer AssociateJPMorgan
What reinforcement roles keep asking for: PyTorch (67%), Python (60%), Machine learning (57%), LLMs (31%), C++ (29%), Deep learning (24%), System design (19%), Computer vision (17%) — counted across their open postings here.
C++ jobs · LLMs jobs · PyTorch jobs · Python jobs
Nvidia has 3,642 open roles listed here.
- Senior System Software Engineer - Dynamo-Triton Inference Server
- Technical Product Manager - AI Infra Resilience
- Senior Verification Engineer, SoC
- Formal Verification Engineer
- Senior Network Product Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for reinforcement roles keep coming back to PyTorch, Python, Machine learning, LLMs. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the LLM Reinforcement Learning Framework Intern - 2027 at Nvidia interview free →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
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Listed on workday · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.