We Love AI JobsSpring 2027 Robot Learning R&D Co-op
Berkshire GreyThis co-op works with the Research & Advanced Development group on learning-based capabilities for real-world robot manipulation. The work combines model training and evaluation with robotics software, data tools, and integration of hardware such as grippers.
Skills & Expertise
Key Responsibilities
Build infrastructure to integrate, deploy, and evaluate learning-based robot manipulation capabilities.
Train and adapt machine-learning architectures for robot learning and visual scene understanding.
Develop data tools and integrate grippers with perception, planning, and robot-control systems.
Full Description
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