Toyota Research Institute

Toyota Research Institute - Machine Learning Engineer Machine Learning Engineer Los Altos, CA Automated Driving Advanced Development – Automated Driving Advanced Development / Full-time / Hybrid Apply for this job 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 Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models. We are looking for a Machine Learning Engineer to join our autonomy team and help bring end-to-end ML models (from pixels to trajectories ) into robust, testable, and deployable systems. This role is ideal for engineers who thrive at the intersection of machine learning, systems engineering, and real-world deployment. You’ll contribute to the implementation, evaluation, and integration of ML-based components for perception, planning, and control. This includes supporting our team’s efforts in simulation-based testing, real-time deployment, and data-driven model development. You’ll work closely with researchers, data engineers, and autonomy engineers to ensure models scale from prototype to production. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities. Responsibilities - Write