Tri Source International

Human Interactive Driving Intern – World Models

Los Altos, CA · Intern · Internship

Sponsorship not specifiedDetected 250 days ago

PythonAWSMachine LearningDeep LearningRoboticsSensorsResearchCollaboration

About the role

Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments.
Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware.
Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving.

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.

Proficiency with Python and PyTorch.
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 (e.g., 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.)

Familiarity with AWS services (S3, EC2, and SageMaker) and open-source driving datasets (nuScenes, Waymo, Argoverse, etc.) is a plus.

The internship will be in our headquarters and include competitive compensation, befitting the challenging but fun nature of the research work at TRI.

Collaborate closely with full-time researchers on the design, training, and evaluation of learning-based driving systems.
Conduct original research in one or more areas: world modeling, multi-agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.

You'll be joining a multidisciplinary research team focused on developing a world foundation model for driving-a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data.
Your work may focus on developing novel components of world models, improving decision-making through model-based RL, advancing 3D perception for dynamic scenes, or enhancing simulation-to-reality transfer.
You'll have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists.
This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems.
The internship will be in our headquarters and include competitive compensation, befitting the challenging but fun nature of the research work at TRI.
Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.

This listing is sourced directly from Tri Source International's careers page and normalized into a canonical job model.