Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Job description

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. ### 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.