Toyota Ventures is Toyota’s first standalone early-stage venture capital firm.
About the role
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
What they're looking for
- Currently pursuing a Ph.D. in Computer Science, Machine Learning, Robotics, or a related field
- Research experience in robot learning, reinforcement learning, imitation learning, generative modeling, world models, or a related area
- Interest in open research problems involving large-scale machine learning grounded in physical systems
- Proficiency in Python and a deep-learning framework such as PyTorch
- Ability to collaborate effectively with researchers and engineers and communicate research findings clearly
- Experience with pretrained generalist policies, foundation models, or large-scale robot-learning systems
More about this role
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
Currently pursuing a Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.
Research experience in robot learning, reinforcement learning, imitation learning, generative modeling, world models, or a related area.
Interest in open research problems involving large-scale machine learning grounded in physical systems.
Proficiency in Python and a deep-learning framework such as PyTorch.
Ability to collaborate effectively with researchers and engineers and communicate research findings clearly.
Experience with pretrained generalist policies, foundation models, or large-scale robot-learning systems.
Familiarity with offline or online reinforcement learning, DAgger, interactive learning, or...
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