Toyota Research Institute (TRI) is looking to develop and integrate innovative solutions that enable a robot to perform complex, human-level mobile manipulation tasks, navigate with and among people, and learn and adapt over time. The team emphasizes developing, deploying, and validating systems in real-world environments.
Requirements
- A strong background in inventing and deploying innovative perception algorithms to robotic systems in real-world environments.
- Experience in areas such as object detection, classification, segmentation, and tracking, sensor fusion, state estimation, local and global 3D mapping and reconstruction, person detection, and human pose estimation.
- Experience in developing and training deep nets and applying deep learning to perception problems.
- Strong software engineering skills, preferably in both Python and C++, and analysis and debugging of robotic perception algorithms.
Responsibilities
- Develop, integrate, and deploy algorithms linking perception to autonomous robot actions, including manipulation, navigation, mapping/localization, and human-robot interaction.
- Invent and deploy innovative solutions at the intersection of machine learning, computer vision, multi-sensor perception, and simulation for understanding human environments and humans.
- Invent novel ways to generate, build, label, and use large, possibly distributed, datasets using self-supervision, active learning, simulation, synthetic rendering, and real-world adaptation.
Other
- This is a summer 2026 paid 12-week internship opportunity.
- Please note that this internship will be an in-office role.
- A team player with strong communication skills and a willingness to learn from others.
- Passionate about seeing robotics have a real-world, large-scale impact.
- B.S. or M.S. in an engineering-related field.
