Automated Driving Advanced Development Intern, Machine Learning Research
Toyota Research Institute1 year ago
Los Altos, CA, USAIntern
Responsibilities
- Research generative modeling and end-to-end planning from vision for automated driving.
- Implement scalable architectures that process raw sensor data into vehicle trajectories, including long-tail driving scenarios.
- Prototype, validate, and iterate on model architectures using imitation learning and large-scale data.
- Perform closed-loop evaluations in sensor simulations and real-world testing environments.
- Explore multimodal and language-conditioned models, transfer learning, and external data sources to improve generalization.
- Contribute to the implementation, evaluation, and integration of ML components for perception, planning, and control.
Requirements
- Currently pursuing a Ph.D. or possessing equivalent experience in Computer Science, Robotics, Engineering, or a related field.
- Proficiency in Python for implementing and evaluating research ideas.
- Experience with machine learning frameworks such as PyTorch.
- Understanding of version control, testing, and software engineering fundamentals.
- Collaborative engineering mindset and interest in building reliable ML systems for real-world autonomy.
- Preferred experience with data sampling and curation, preprocessing, model training, ablation studies, evaluation, deployment, and inference optimization.
- Preferred experience debugging and profiling the NVIDIA CUDA stack and using experiment tracking, metrics dashboards, or ML operations tooling.
- Preferred experience with robotics or real-world sensor data, object detection, 3D perception, foundation models, multimodal Transformers, or distributed training.
- Preferred experience with ROS, CARLA, Nvidia DriveSim, vehicle interfaces, robot motion planning, or automated driving domains.
Benefits
- Paid 12-week Summer internship opportunity.
- Hybrid, in-office work arrangement.
- Medical, dental, and vision insurance.
- Paid time off, including holiday pay and sick time.
Categories
ML EngineeringRobotics
About Toyota Research Institute
Toyota Research Institute (TRI) is Toyota’s U.S.-based R&D subsidiary building AI, robotics, and automated driving technologies for future Toyota vehicles and mobility products. It also conducts materials discovery for batteries and hydrogen fuel cells and develops assistive home robotics. Founded in 2016 and headquartered in Los Altos, California, TRI delivers research, software, and prototypes that feed Toyota’s product roadmaps through close collaboration with internal teams and external research partners.