This role is focused on researching innovative techniques in generative models and artificial data creation within a dedicated research team at NVIDIA. The team addresses challenges in modern model development, particularly in creating high-fidelity synthetic data for training large language models (LLMs). The position involves collaboration with other researchers and engineers to integrate novel methods into production pipelines. This opportunity allows for significant contributions to foundational research that shapes the future of AI model training.

• Pursuing a PhD in Computer Science, Machine Learning, Computational Linguistics, Computational Neuroscience, or equivalent program with a specialization in deep learning, NLP, or LLM training.
• Research experience in at least one of the following areas: generative modeling, synthetic data generation, LLM post-training, reward modeling, multi-agent or interactive simulation, behavioral or cognitive modeling, or large-scale data curation.
• Excellent Python programming skills.
• Hands-on experience with deep learning frameworks such as PyTorch and the modern LLM training/serving stack.
• Strong research background with publications at top-tier AI, ML, or NLP conferences.

• Research innovative techniques in generative models, artificial data creation, user simulation, reward modeling, and data-quality estimation for LLM training.
• Craft and apply new methods for high-fidelity synthetic data, including behavioral calibration of simulated users against real-user signatures.
• Conduct experiments to validate that synthetic data measurably improves downstream model performance.
• Collaborate with other researchers and engineers to integrate novel methods into production training and evaluation pipelines.
• Prepare research findings for internal presentations and potential publication at top-tier AI conferences.

• 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.