2026 Summer Intern – Large Language Models (Prescient Design / AI for Drug Discovery)

We are seeking exceptional graduate student interns with strong ML research or engineering backgrounds to contribute to research and development of internal large language models for scientific discovery and therapeutic molecular design.

Requirements

• Must be pursuing a PhD (enrolled student)
• Must have a background in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field
• Must have strong Python skills and experience with ML frameworks such as PyTorch
• Must have a solid understanding of neural networks, representation learning, and modern supervised/unsupervised methods
• Must have excellent written and verbal communication, and ability to work effectively with interdisciplinary teams

Benefits

• Full-time paid internship (40 hours per week)
• Location-based stipend to support internship expenses
• Paid holiday time off benefits