NVIDIA
SyntheticDataGenerationandUserSimulationPhDResearchIntern—Fall2026
“Synthetic Data Generation and User Simulation PhD Research Intern — Fall 2026 at NVIDIA. Skills: generative models, synthetic data generation, user simulation, LLM training. Research innovative techniques. Craft and apply new methods”
What You'll Achieve.
measurably improves downstream model performance
Industry & Context.
investigating how generative models can create instructional and assessment data; grounding data in real-world distributions; population-grounded user simulation; verifier-grounded trajectory synthesis; SDG quality measurement
What They're Looking For.
Must Have
PhD in Computer Science, Machine Learning specialization, Computational Linguistics specialization, Computational Neuroscience specialization, deep learning specialization, NLP specialization, LLM training specialization, Research experience in generative modeling, Research experience in synthetic data generation, Research experience in LLM post-training, Research experience in reward modeling, Research experience in multi-agent simulation, Research experience in interactive simulation, Research experience in behavioral modeling, Research experience in cognitive modeling, Research experience in large-scale data curation, Python programming skills, deep learning frameworks experience, modern LLM training stack experience, modern LLM serving stack experience, research background with publications
Nice to Have
Experience training LLMs end-to-end, Experience fine-tuning LLMs end-to-end, Evaluating LLMs against real downstream tasks, LLM-as-judge calibration experience, Inter-rater agreement experience, Evaluator robustness experience, User simulation experience, Agent–user interaction modeling experience, Behavioral modeling experience grounded in real population data, Behavioral modeling experience grounded in cognitive science, Interest in multilingual evaluation, Interest in low-resource evaluation, Interest in sovereign-AI evaluation, Interest in multilingual training, Interest in low-resource training, Interest in sovereign-AI training, Contributions to open-source projects
What You'll Do.
Research innovative techniques
Craft and apply new methods
Collaborate with researchers and engineers
Prepare research findings
How You'll Work.
Team & Collaboration
Collaborating with other researchers and engineers
Communication Scope
internal presentations
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