Autonomous Driving ML Systems Intern (Hybrid)

Toyota Ventures; Los Altos (CA); Ibrido; USD 62.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental insurance

Vision insurance

Paid time off

Descrizione del lavoro

Toyota Research Institute (TRI) is offering a paid 12-week Summer internship in California focused on machine learning for autonomous driving. The role blends research and engineering to develop end-to-end ML components for perception, planning, and control, with collaboration across researchers, data engineers, and autonomy engineers in a hybrid in-office setting.

The internship emphasizes scaling models from prototype to production, with opportunities to work on vision-to-trajectory pipelines,

Competenze

• 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.

Mansioni

• 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 long-tail driving scenarios with low data coverage.
• 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 multi-modal and language-conditioned models to broaden the applicability of end-to-end policies and leverage external data sources.

Conoscenze

Python

PyTorch

Version control

Testing

Software engineering fundamentals

Collaboration

Formazione

Ph.D. or equivalent

Strumenti

CARLA

NVIDIA DriveSim

ROS

Descrizione del lavoro

Toyota Research Institute (TRI) is offering a paid 12-week Summer internship in California focused on machine learning for autonomous driving. The role blends research and engineering to develop end-to-end ML components for perception, planning, and control, with collaboration across researchers, data engineers, and autonomy engineers in a hybrid in-office setting.

The internship emphasizes scaling models from prototype to production, with opportunities to work on vision-to-trajectory pipelines,