PhD Research Intern – Synthetic Data Generation, User Simulation

🕒 May 27

🏄 California – Remote

🏄 California – Remote

💵 $30 - $94 / hour

👨‍🎓 Internship

⚪️ Entry-level

🔬 UX Researcher

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Researching innovative techniques in generative models, artificial data creation, user simulation, reward modeling, and data-quality estimation for LLM training. • Crafting and applying new methods for high-fidelity synthetic data. • Conducting experiments to validate that your synthetic data measurably improves downstream model performance — accuracy, robustness, calibration, multilingual parity, agentic safety. • Collaborating with other researchers and engineers to integrate novel methods into production training and evaluation pipelines. • Preparing research findings for internal presentations and potential publication at top-tier AI conferences.

🎯 Requirements

• 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: generative modeling, synthetic data generation, LLM post-training (SFT/RLHF/DPO/RL), 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 (PyTorch) and the modern LLM training/serving stack (e.g., HuggingFace, vLLM, distributed training). • Strong research background with publications at top-tier AI, ML, or NLP conferences.

🏖️ Benefits

• Intern benefits