Postdoctoral Researcher, Large Behavior Models

Los Altos, CA - USA

Yearly Salary: $ 176000 - 264000

Posted on: 25-09-2025

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a world-class team in Automated Driving Energy & Materials Human-Centered AI Human Interactive Driving Large Behavior Models and Robotics.

The Team

The Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB depth flow semantics bounding boxes tactile audio etc) data from multiple domains (driving robotics indoors outdoors etc) to improve the performance of downstream tasks. This paradigm targets training scalability since data from multiple modalities can be equally leveraged to learn useful data-driven priors (3D geometry physics dynamics etc) for world understanding. Our topics of interest include but are not limited to Video Generation World Models 4D Reconstruction Multi-Modal Models Multi-View Geometry Data Augmentation and Video-Language-Action models with a primary focus on embodied applications. We are aiming to make progress on some of the hardest scientific challenges around spatio-temporal reasoning and how it can lead to the deployment of autonomous agents in real-world unstructured environments.

The Postdoc

This year-long postdoctoral research position will be highly integrated into our team with hands in both ongoing and new research and development threads in the areas of:

4D World Models

Physical and Embodied Intelligence

Multi-Modal Learning

This researcher will have the opportunity to work collaboratively with our team at TRI on high-risk high-reward projects pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position targeting the development of methods and techniques that can solve real-world problems. We welcome you to join a positive friendly and enthusiastic team of researchers where you will contribute to helping people gain and maintain independence access and mobility. We work closely with other Toyota affiliates and actively collaborate towards research publications and the productization of our developed technologies.

Responsibilities

Develop integrate and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications.
Handle the ingestion of large-scale datasets for training including streaming online and continual learning.
Invent and deploy innovative solutions at the intersection of machine learning computer vision and robotics that improve the real-world performance of useful tasks.
Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
Follow best practices producing maintainable code both for internal use as well as for open-sourcing to the scientific community.

Qualifications

Ph.D. in a relevant technical field.
A strong background in computer vision and its applications to robotics and embodied systems.
A standout colleague with strong communication skills and an ability to learn from others and contribute back to the scientific community with publications or open source code.
Passionate about assisting and amplifying older adults and those in need through dexterous manipulation human-robot collaboration and physical assistance innovation.

Bonus Qualifications

Spatio-temporal (4D) computer vision including multi-view geometry 3D/4D reconstruction video generation self-supervised learning occlusion reasoning etc.
Large-scale training of multi-modal deep learning methods both in terms of dataset sizes and model complexity context length extension and efficient attention distributed computing etc.
Application of machine learning and computer vision to embodied applications.

The pay range for this position at commencement of employment is expected to be between$176000and$264000/year for California-based roles; however base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience. Note that 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. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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