Toyota Research Institute (TRI) is looking to improve the quality of human life by developing new tools and capabilities to amplify the human experience, specifically by enabling general-purpose robots to be reliably deployed at scale in human environments.
Requirements
- Expertise in 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/or Online / Continual Learning.
- Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).
- A strong track record of publication at high-impact conferences/journals on some of the aforementioned topics.
- Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management is also useful.
- Some familiarity with robots and the challenges inherent in conducting research on physical hardware platform
- Experience with robots is preferred, particularly in the manipulation domain.
- 4+ years of relevant industry experience or a Ph.D. in Machine Learning, Robotics, or related fields.
Responsibilities
- Work as part of a dynamic, closely-knit team conducting research on reliable, robust, and adaptive deployment of machine learning models in robot manipulation.
- Push the boundaries of knowledge and the state-of-the-art in Robotics and LBMs.
- Contribute to cutting-edge development in the areas of: Rigorous Policy Evaluation, Failure Detection and Mitigation, and Active / Continual Learning.
- Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publication.
- Collaborate with internal research scientists and engineers across the TLU team, Robotics division, TRI, and Toyota, as well as our university partners.
- Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.
- Conduct research independently, but also work well as part of a larger research team at the cutting edge of state-of-the-art robotics and machine learning.
Other
- 4+ years of relevant industry experience or a Ph.D. in Machine Learning, Robotics, or related fields.
- A reliable teammate who loves to think big, go deeper, and deliver with integrity.
- 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.
- Passionate about large scale challenges in ML grounded in physical systems, especially in the space of robotic manipulation.
- TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure.
