Accelerated Science Intern, Representation Learning for Molecules and Materials

This 12-week paid internship at Toyota Research Institute focuses on investigating how machine learning models represent molecules and materials. The role involves collaborating with researchers to study how training data, learning objectives, and model architectures shape learned representations through mathematical reasoning and computational experiments. The position aims to understand when models arrive at shared representations and how they connect to the physics of the systems being studied.