Spring 2027 Robot Learning R&D Co-op

Aimlroles; Tennessee; On-site; USD 34,000 - 48,000; Part time

Job summary

Berkshire Grey is seeking a Spring 2027 Robot Learning R&D Co-op in Bedford, MA. You will develop and integrate learning-based manipulation for real-world robotics, spanning drivers to multi-robot orchestration.

You will work in Python and possibly C++, with ROS on Ubuntu, contributing to ML models, data collection, and system evaluation. This role runs January to June 2027, onsite, offering hands-on robotics experience.

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 ML 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.

Responsibilities

• 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.

Skills

Python

C++

Imitation Learning

Reinforcement Learning

Vision Transformers

ROS

Linux

Education

MS/PhD in Robotics

Tools

ROS

Linux (Ubuntu)

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