Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Nvidia
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This role on the market
36 open reinforcement roles across 17 companies are on ApplySarthi right now, most of them in Hyderabad (1), Bengaluru (1).
- Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)Cohere
- Software Engineer II, Reinforcement Learning EnvironmentsHandshake
- Research Scientist / Engineer – Reinforcement Learning InfrastructureLumaai
- Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)Target
- Senior Reinforcement Learning EngineerGravis Robotics
What reinforcement roles keep asking for: Python (64%), Machine learning (58%), PyTorch (58%), LLMs (36%), C++ (31%), Deep learning (25%), Supply chain (25%), System design (19%) — counted across their open postings here.
Deep learning jobs · LLMs jobs · NLP jobs · PyTorch jobs
Nvidia has 2,839 open roles listed here.
- Senior Systems Software Engineer, Compute Stack Acceleration
- Senior GPU Architect, Simulation SystemC, TLM
- Senior Engineer, NCX
- Senior GPU Networking Architect
- Networking QA and Automation Engineer, Network Systems
Counted across 14 company job boards, updated as roles open and close.
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- What is your experience with LLMs? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- 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?
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Practise the Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026 at Nvidia interview free →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 38 USD - 94 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until October 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.