Jobs at Toyota Research Institute

Conduct research in machine learning for robot manipulation, focusing on trustworthy learning, uncertainty, foundation models, failure detection, and continual learning. The intern will use sensory data and simulation, validate algorithms on real robots, collaborate with researchers and engineers, present findings, and contribute to publications and open-source projects.

Conduct research on post-training and continual learning methods for pretrained generalist robot policies. Develop adaptation techniques using reinforcement learning, imitation learning, policy distillation, world models, and human-in-the-loop learning. Design rigorous simulation and real-robot experiments, analyze results, communicate findings, and contribute to technical reports and publications.

As a Senior Data Engineer at TRI, you will design and build robust data infrastructure and pipelines to support autonomy research and simulation workflows.

Lead development of sensor- and system-level simulation workflows for end-to-end autonomy: build visually realistic simulators, integrate third-party simulators, generate synthetic data, curate scenarios, log large-scale virtual tests, create diagnostic tooling and analysis pipelines, collaborate across autonomy, ML, and integration teams, and mentor engineers to close the gap between simulation and on-vehicle deployment.

The VC Associate will source and screen innovative companies, participate in due diligence, prepare investment memos, and support deal negotiations while networking within the startup ecosystem.