Spring 2027 Robot Learning R&D Co-op

Berkshire Grey, Inc.; Bedford (MA); On-site; USD 28,000 - 42,000; Part time

Job summary

Berkshire Grey, Inc. invites a Spring 2027 Robot Learning R&D Co-op to work onsite in Bedford, MA, January–June 2027.

You will help develop and integrate new manipulation approaches for real-world robotics systems, spanning robot drivers to the in-house multi-robot orchestrator and proving ground. The role targets advanced-degree students with strong Python and ROS experience, plus ML methods such as imitation or reinforcement learning, applied to physical-world robotics.

Qualifications

• Pursuing an advanced degree (MS or PhD) in Robotics, ML, CS, or related field.
• Strong Python software development; C++ is a plus.
• Experience with ML methods such as imitation or reinforcement learning and vision transformers.
• Experience applying ML to physical-world robotic systems.
• Robotics software development using Linux (Ubuntu) and ROS.

Responsibilities

• Build software infrastructure to integrate, deploy, and evaluate learning-based manipulation capabilities.
• Contribute to training and adaptation of ML architectures for robot learning and scene understanding.
• Contribute to robot learning data collection application development and improvements.
• Build tools to process, validate, visualize, and evaluate data from on-robot policy execution (logs, sensors, annotations).
• Integrate novel grippers and hardware into perception, planning, and robot-control systems.
• Leverage production data and internal systems to implement and evaluate solutions.

Skills

Python

C++

Imitation learning

Reinforcement learning

Vision transformers

Robotics ML

Education

MS/PhD candidate in Robotics/ML/CS

Tools

ROS

Linux

Job 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