Toyota Research Institute (TRI) aims to make general-purpose robots a reality to assist with household chores, cooking, and aiding the elderly, enabling people to spend more time on enjoyable activities. This requires robots to operate reliably in complex, unstructured environments, necessitating the development of foundation models that can learn general-purpose robot behaviors from large-scale datasets of physical interaction.
Requirements
- Deep expertise in at least one key ML area among Computer Vision, Large-Scale Pre-Training, Multi-Modal Learning, World Models, 4D Reconstruction
- Consistent record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.) on the aforementioned topics.
- Proficient at scientific Python, Unix, and a common DL framework (preferably PyTorch).
- Experience with distributed learning (especially on AWS) for large-scale training of foundation models is a plus.
- You can identify, propose, and lead new research efforts, working in collaboration with other researchers and engineers to complete it from initial idea to working solution.
- You are intrigued by large-scale challenges in ML, especially in the space of Robotics, Automated Driving, and for societal good in general.
Responsibilities
- Conduct high-reaching research that solves problems of high value and validates them in well established benchmarks and systems.
- Push the boundaries of knowledge and the state of the art in ML areas, including simulation, perception, prediction, and planning for autonomous driving and robotics.
- Partner with a multidisciplinary team including other research scientists and engineers across the CV team, TRI, Toyota, and our university partners.
- Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community.
- Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
- Lead collaborations with our external research partners and mentor research interns.
- Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community.
Other
- PhD or equivalent years of experience in Machine Learning, Robotics, Computer Vision, or a related field.
- You are a reliable teammate. You like to think big and go deeper. You care about openness and delivering with integrity.
- Please submit a brief cover letter and add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
- The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles.
- TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure.
