Toyota Research Institute (TRI) is looking to improve the quality of human life and amplify the human experience through new tools and capabilities in mobility. The Trustworthy Learning under Uncertainty (TLU) team specifically aims to enable the robust and reliable deployment of Large Behavior Models (LBMs) at scale in human environments, while allowing for efficient adaptation to novel settings, addressing the challenges of safe and effective usage of machine learning algorithms in robotics.
Requirements
- Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).
- Publication or desire to publish at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, AISTATS, AAAI, TMLR, RSS, ICRA, IROS, RA-L, T-RO, CDC, L4DC, etc.) on some of the aforementioned topics.
- Passion for large scale challenges in ML grounded in physical systems, especially in the space of robotics.
- Experience with Machine Learning for Robotics.
- Experience with Large Behavior Models (LBMs) for robotic manipulation.
- Familiarity with topics such as Multi-Modal Foundation Models, Generative Modeling, Imitation Learning, Reinforcement Learning, Planning & Control, Statistics, Uncertainty Estimation, Out-of-Distribution Detection, Safety-Aware & Robust ML, (Inter)Active Learning, and Online / Continual Learning.
Responsibilities
- Conduct daring research primarily in Robotics that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems.
- Push the boundaries of knowledge and the state-of-the-art in Robotics and LBMs.
- Stay up to date on the state-of-the-art in Machine Learning ideas and software.
- Proposing, conducting, and transferring pioneering research in Machine Learning for Robotics.
- Use large amounts of sensory data and simulation to solve open problems.
- Work towards publications at top academic venues.
- Test your ideas in the real world, including on our robots.
Other
- Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields.
- Partner with a multidisciplinary team, including other research scientists and engineers across the TLU team, Robotics division, TRI, Toyota, and our university partners.
- Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.
- Ability to collaborate with other researchers and engineers of the TLU team, and, more broadly, the Robotics division to invent and develop interesting research ideas.
- A reliable teammate who loves to think big, go deeper, and deliver with integrity.
