Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Mission Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI. The Team In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence. The Opportunity We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes. This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks. The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. 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. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to 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 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. 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. Responsibilities Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field. Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR). Strong foundation in machine learning, especially in computer vision. Extensive hands-on experience with image/video generative models. Strong programming skills in Python; experience with Linux-based development. Proven ability to lead research projects to publication-quality outcomes. Qualifications Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field. Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR). Strong foundation in machine learning, especially in computer vision. Extensive hands-on experience with image/video generative models. Strong programming skills in Python; experience with Linux-based development. Proven ability to lead research projects to publication-quality outcomes. Bonus Qualifications Experience in real-time or resource-constrained ML systems. Experience with GPU acceleration, profiling, or low-level optimization.

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