About the role#
The Trustworthy Learning under Uncertainty (TLU) team is seeking a Research Intern for Summer 2027. You will work on projects related to policy evaluation, failure detection, and continual learning within the context of World Foundation Models for robot manipulation. The team focuses on enabling the reliable deployment of embodied foundation models at scale, ensuring they can adapt to novel settings in human environments.
What you'll do#
- Conduct research in robot manipulation to solve open problems.
- Validate your findings using real-world benchmarks and physical systems.
- Advance the state of knowledge in robot manipulation and foundation models.
- Partner with a multidisciplinary team of researchers and engineers.
- Keep up with current machine learning ideas and software developments.
- Present your results through internal communications, open-source contributions, and international conferences.
What you'll need#
- Currently pursuing a Ph.D. in Machine Learning, Robotics, or a related field.
- A track record of or desire to publish at high-impact conferences and journals.
- Experience with large-scale machine learning challenges grounded in physical systems.
- Proficiency in Python, Unix, and a deep learning framework.
- Ability to work effectively with other researchers and engineers.
- Reliability as a teammate.
Location & details#
- This is a 12-week, full-time, paid internship.
- The role is based in Los Altos, California.
- This position follows a hybrid work model.
About Toyota Research Institute
Toyota Research Institute is a research organization founded in 2016. Based in Los Altos, California, it operates as a subsidiary of Toyota. The company focuses on artificial intelligence, robotics, automated driving, and material sciences. Its staff of approximately 485 employees works to develop technology for vehicles and robots while researching new materials for batteries and fuel cells.
How to get in at Toyota Research Institute
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