Spring 2027 Robot Learning R&D Co-op

Spring 2027 Robot Learning R&D Co-op As part of the Research & Advanced Development group, you will help develop and integrate new approaches to solving a variety of challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges. Your work will span the full range of this robotics stack, from robot drivers to the multi-robot orchestration system running in Berkshire Grey's in-house robot proving ground. This role will be onsite at the Bedford, MA office. This position will run from approximately January to June 2027 (dates flexible). Functions Build software infrastructure to integrate, deploy, and evaluate learning-based manipulation capabilities Contribute to the training and adaptation of existing machine learning architectures for robot learning and visual scene understanding Contribute to the development and continuous improvement of Berkshire Grey's robot learning data collection application Build tools to process, validate, visualize, and evaluate data from on-robot policy execution, including system logs, sensor data, annotations, and failure cases Integrate novel grippers and other hardware into existing perception, planning, and robot-control systems Leverage production data and our internal development systems to implement and evaluate your solutions Qualifications Currently pursuing an advanced degree (MS or PhD) in Robotics, Machine Learning, Computer Science, or a closely related field Strong software development expertise in Python; C++ is a plus Experience with modern machine learning methods such as imitation learning, reinforcement learning, generative models, vision transformers, or related methods Experience applying ML models to systems that interact with the physical world Experience developing robotics software using Linux (Ubuntu) and ROS

COOP-2621