Synthetic Data Generation and User Simulation PhD Research Intern — Fall 2026

This role is based in California, US, with remote work options available.

Compensation:

$30 - $94/hour

Responsibilities:

• Research innovative techniques in generative models and artificial data creation.
• Craft high-fidelity synthetic data and conduct experiments to validate improvements in model performance.
• Collaborate with researchers and engineers to integrate methods into training pipelines.
• Prepare research findings for presentations and potential publication.

Requirements:

• Pursuing a PhD in Computer Science, Machine Learning, or related fields.
• Research experience in generative modeling or synthetic data generation.
• Excellent Python programming skills and experience with deep learning frameworks like PyTorch.