NVIDIA is seeking PhD research interns to contribute to the advancement of large language models through reinforcement learning. The applied deep learning research team has been instrumental in pioneering projects like Megatron and MT-NLG. Interns will focus on algorithmic research, designing and evaluating new RL-based methods to enhance LLM behavior. This role emphasizes hands-on experimentation and rapid prototyping at scale.

• 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

• 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

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.