Autonomous Driving ML Research Intern (End-to-End)

Toyota Research Institute Inc.; Los Altos (CA); Hybrid; USD 62,000 - 90,000; Full time

Benefits offered by this job

Hybrid in-office role

12-week internship

Summer 2027 program

Job summary

Toyota Research Institute Inc. seeks Machine Learning Research Interns to join the autonomy team and help bring end-to-end ML models into robust, testable, and deployable systems.

You’ll work at the intersection of machine learning, systems engineering, and real-world deployment in a hybrid, in-office setting. You’ll contribute to perception, planning, and control components with simulation-based testing, collaborating with researchers and autonomy engineers to scale models from prototype to

Qualifications

• Currently pursuing a Ph.D. or equivalent experience in Computer Science, Robotics, Engineering, or a related field.
• Proficiency in Python for implementing and evaluating research ideas.
• Experience with ML frameworks such as PyTorch.
• Understanding of version control, testing, and software engineering fundamentals.
• Passion for collaborative engineering and building reliable ML systems that support real-world autonomy.

Responsibilities

• Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative modelling for end-to-end planning from vision in automated driving.
• Implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage.
• Prototype, validate, and iterate on model architectures using imitation learning, and large-scale data, ensuring robust performance across diverse scenarios.
• Perform closed-loop evaluations in sensor simulations and real-world testing environments.
• Explore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, leveraging external data sources and transfer learning to enhance generalization.

Skills

Python

PyTorch

Version control

Testing fundamentals

Software engineering

Collaborative engineering

Education

Ph.D. in CS or related field

Tools

NVIDIA CUDA

ROS

CARLA

NVIDIA DriveSim

Weights & Biases

MLflow

Metaflow

Video/Lidar/IMU data handling

ROS 2

Job description

Toyota Research Institute Inc. seeks Machine Learning Research Interns to join the autonomy team and help bring end-to-end ML models into robust, testable, and deployable systems.

You’ll work at the intersection of machine learning, systems engineering, and real-world deployment in a hybrid, in-office setting. You’ll contribute to perception, planning, and control components with simulation-based testing, collaborating with researchers and autonomy engineers to scale models from prototype to