Human Interactive Driving Intern – World Models

Join Toyota Research Institute (TRI) as a Human Interactive Driving Intern to conduct original research at the intersection of machine learning and autonomous driving. As a Ph.D. Research Intern, you will collaborate with full-time researchers on designing, training, and evaluating learning-based driving systems.

Requirements

• Currently enrolled in a Ph.D. program in Computer Science, Robotics, Machine Learning, or a related field
• Strong background in machine learning, particularly in areas such as deep learning, generative models, reinforcement learning, or probabilistic modeling
• Demonstrated experience with one or more of the following: World models, Model-based RL or decision-making, 3D perception or sensor fusion, and Large-scale simulation for robotics or autonomous systems
• Prior publication(s) in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ICRA, CoRL, etc.)
• Proficiency with Python and PyTorch
• Familiarity with AWS services (S3, EC2, and SageMaker) and open-source driving datasets (nuScenes, Waymo, Argoverse, etc.) is a plus

Benefits

• Medical, dental, and vision insurance
• Paid time off benefits (including holiday pay and sick time)