Postdoctoral Researcher, Foundation Models for Driving
Los Altos, CA
Toyota Research Institute
We are looking for a data-driven robotics researcher with a strong background in embodied machine learning and a “make it happen” mentality who is interested in spending a year collaborating with our research team as a visiting scholar to drive the state-of-the-art in prediction and behavior learning for automated driving. The ideal candidate is able to operate independently when needed but works well as part of a larger integrated group at the cutting edge of state-of-the-art robotics and machine learning. Experience with robots or other embodied systems (such as autonomous vehicles) is strongly preferred.
An ideal candidate has a proven track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. A current postdoc looking to take an additional year of research before beginning a faculty position would be a great fit for this role, as would a more experienced existing faculty member looking to take a year-long sabbatical with us. This position requires a hands-on researcher interested in formulating research ideas and implementing and evaluating them in collaboration with our team. We expect this position to result in peer-reviewed publications, including the potential for ongoing long-term collaboration with TRI.
Responsibilities
- Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative AI (e.g., recent results in diffusion policy [1],[2]) for end-to-end perception, planning and prediction in automated driving with a focus on computer vision as the primary sensing modality
- Push the boundaries of knowledge and implement, extend, and create innovative methods for prediction and behavior learning from human-driving data
- Work with high-performance machine-learning pipelines and deploy onboard for closed-loop evaluation with scalability, efficiency, and performance in mind
- Collaborate with a multidisciplinary team including other researcher scientists and engineers across TRI, Woven by Toyota, and university partners
- Take the lead on writing and publishing research results in peer-reviewed venues
Qualifications
- A PhD in a robotics-relevant / embodied-AI field such as Computer Science, Mathematics, Physics or Engineering
- Consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.)
- A strong background of independent research
- Ability to independently formulate and implement a research agenda while collaborating with partners across a spectrum of subject areas
- Experience training large-scale foundation models (VLMs, text-to-video models, etc)
- Sufficient software engineering proficiency to implement and evaluate research ideas. We generally work in C++ and Python internally, and experience with either of those languages is a strong bonus.
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TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Engineering Generative AI ICLR ICML Machine Learning Mathematics NeurIPS PhD Physics Pipelines Postdoc Privacy Python Research Robotics
Perks/benefits: Conferences
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