Robotics Intern - Robotics and Human Aware… at Toyota… · Cambridge

Summary: Toyota Research Institute (TRI) is dedicated to improving the quality of human life through advanced technology. They are seeking a Robotics Intern to work on developing general-purpose robots that can perform various tasks through machine learning and human-robot interaction. The role involves building algorithms, running experiments, and contributing to research publications. Responsibilities: - Developing data-efficient and general algorithms for learning robust multimodal policies - Creating hierarchical reasoning frameworks for learned robot policies - Robustifying data-driven robot policies to the presence of humans - Exploring additional data sources for training human-interactive robot policies - Developing shared autonomy in conjunction with VLA models Required Qualifications: - Currently pursuing a degree (Ph.D., M.S.) in Robotics, Computer Science, Mechanical Engineering, or a related field - Publication record at top-tier robotics/ML conferences (RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, ICCV) - Hardware experience is strongly preferred, especially toward deploying learned policies on real robotic systems - Experience with machine learning and familiarity with large datasets, models, and benchmarks - Strong software development skills in Python - Experience in C++ is very useful, but not strictly required - Experience conducting user studies involving real robot hardware - A 'make it happen' approach and comfortability with fast prototyping and running informative experiments - Passion for seeing robotics help humans and have a real-world, large-scale impact Preferred Qualifications: - Hands-on experience with using machine learning for learned control, including behavior cloning and/or reinforcement learning, for manipulation - Experience with interactive machine learning techniques that adapt robot policies given human feedback/corrections - Experience with qualitative and quantitative user research, including developing user study materials, IRB applications, facilitation and interviewing, management of Personally Identifiable Information (PII), and statistical analysis - System integration skills, including using innovative ML tools, databases, etc Required Skills: Robotics, Machine Learning, Python Important Skills: C++, User Studies, Data Aggregation Nice-to-Have Skills: Fast Prototyping, Statistical Analysis, System Integration, Qualitative Research Benefits: Medical, Dental, Vision insurance, Paid time off benefits, Holiday pay, Sick time