Research Scientist, World Models for Autonomous Vehicles
Research Scientist, World Models for Autonomous Vehicles
Posted on :
18-07-2025
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1 Vacancy
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Yearly Salary
$ 176000 - 264000
Vacancy
1 Vacancy
Posted on :
18-07-2025
Job Description
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 Energy & Materials Human-Centered AI Human Interactive Driving Large Behavior Models and Robotics.
Within the Human Interactive Driving division the Extreme Performance Intelligent Control department is working to develop scalable human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable data-driven world model that serves as a foundation for intelligent multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception world modeling and model-based reinforcement learning we aim to overcome the limitations of more compartmentalized rule-based approaches. The end goal is to enable robust and adaptable driving policies that generalize across tasks sensor modalities and public road scenariosdelivering ground-breaking improvements for ADAS autonomous systems and simulation-driven software development.
We are seeking a highly motivated Research Scientist specializing in uncertainty-aware world models for autonomous vehicles. In this role you will develop cutting-edge models that enable autonomous systems to perceive predict and interact intelligently with their environment. You will work at the intersection of machine learning computer vision robotics and probabilistic modeling to build robust world models that improve perception planning and decision-making in self-driving systems.
Responsibilities
- Develop and refine world models that improve the understanding of sophisticated and dynamic driving environments.
- Research and implement deep learning reinforcement learning and probabilistic modeling techniques for improved scene representation and prediction.
- Design algorithms that integrate sensor fusion temporal reasoning and uncertainty estimation to improve autonomous vehicle behavior.
- Collaborate with cross-functional teams including perception planning and simulation engineers to develop real-time scalable models for deployment.
- Conduct experiments simulations and real-world validations to assess the effectiveness of world models.
- Publish research findings in premier conferences and journals and contribute to the AI and robotics research community.
- Stay up to date with advancements in machine learning generative modeling and simulation technologies.
Qualifications
- Ph.D. (or equivalent experience) in Machine Learning Computer Science Robotics or a related field.
- Strong background in probabilistic modeling reinforcement learning and deep learning architectures (e.g. Transformers VAEs Diffusion Models).
- Strong understanding of Bayesian inference state-space models and uncertainty quantification.
- Hands-on experience with world models predictive modeling or generative modeling in robotics or autonomous systems.
- Prior experience in publishing research at NeurIPS ICML CVPR ICRA or similar.
- Proficiency in Python and ML frameworks (TensorFlow PyTorch JAX).
- Experience working with autonomous vehicle datasets sensor modalities (LiDAR camera radar) and simulation environments.
- Excellent problem-solving skills and the ability to work in a fast-paced team research environment.
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.
Please reference thisCandidate Privacy Noticeto inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute Inc. or its subsidiaries including Toyota A.I. Ventures GP L.P. and the purposes for which we use such personal information.
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 applicants 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.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
Employment Type
Full-Time
Key Skills
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