Human Interactive Driving Intern – World Models
Hybrid (Los Altos, CA)$45/hr - $65/hrInternPosted 11mo ago
About the role
Paid 12-week internship in hybrid (in-office/remote) role focused on developing a world foundation model for driving, with opportunities to conduct original research at the intersection of machine learning and autonomous driving.
Responsibilities
- Conduct original research in one or more areas: world modeling, multi-agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.
- Collaborate closely with full-time researchers on the design, training, and evaluation of learning-based driving systems.
- Contribute to building and experimenting with task-aware, multi-modal, and uncertainty-aware models.
- Develop and evaluate prototypes in closed-loop simulation environments and, time permitting, on high-performance autonomous driving hardware.
- Present research findings through internal talks and work towards a top-tier academic publication.
- Integrate and work with large-scale datasets (open-source and internal).
Qualifications
- Currently enrolled in a Ph.D. program in Computer Science, Robotics, Machine Learning, or a related field.
- Strong background in machine learning, particularly in deep learning, generative models, reinforcement learning, or probabilistic modeling.
- Demonstrated experience with one or more of the following: World models (latent dynamics, diffusion-based 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.
Skills
Required:World models / latent dynamicsModel-based reinforcement learningPythonPyTorch
Nice to have:3D perception / sensor fusionLarge-scale simulation for roboticsAWS (S3, EC2, SageMaker)
Benefits
- Generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time).
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Toyota Research Institute
Pursuing automated driving solutions that are safe, scalable, and inclusive
Toyota Research Institute (TRI) envisions a future where Toyota products, enabled by TRI technology, dramatically improve quality of life for individuals and society.
Automated DrivingEnergy & MaterialsHuman-Centered AIHuman Interactive DrivingLarge Behavior ModelsRobotics
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