Robotics Research Intern - Post-Training

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. This is a paid 12-week internship opportunity and is a hybrid, in-office role. [Here’s a glimpse into the Internship experience from some of our TRI interns!](https://www.tri.global/tri-internship-program) ### Qualifications - Currently pursuing a Ph.D. in Computer Science, Machine Learning, Robotics, or a related field. - Research experience in robot learning, reinforcement learning, imitation learning, generative modeling, world models, or a related area. - Interest in open research problems involving large-scale machine learning grounded in physical systems. - Proficiency in Python and a deep-learning framework such as PyTorch. - Ability to collaborate effectively with researchers and engineers and communicate research findings clearly. ### Bonus Qualifications - Experience with pretrained generalist policies, foundation models, or large-scale robot-learning systems. - Familiarity with offline or online reinforcement learning, DAgger, interactive learning, or human-in-the-loop methods. - Experience with simulation, sim-to-real transfer, policy distillation, or robotic manipulation. - Experience with learned world models, model-based reinforcement learning, or planning. - Publication record or interest in publishing at leading venues such as CoRL, NeurIPS, ICLR, ICML, RSS, ICRA, IROS, or related conferences and journals. - Interest in translating fundamental research into reliable methods that can be evaluated on real robotic systems and practical downstream tasks.