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Fall 2026 Robot Learning R&D Co-op

Confidential

Bedford, Massachusetts temporary

Posted: April 3, 2026

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Quick Summary

As a research and development robot learning co-op, you will develop new approaches to solving manipulation problems for real-world robotics systems, contributing to the cutting-edge development of robotic solutions.

Job Description

As part of the Research & Advanced Development group, you will research and develop new approaches to solving challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. Your work will contribute to enhancing the capabilities of our robotic solutions and explore new solutions and approaches, unlocking new value we deliver to our customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges.

This role will be onsite at the Bedford, MA office. This position will run from approximately July to December 2026 (dates flexible).

We are seeking interns in a variety of disciplines related to robot learning including:

Imitation learning for complex, agile manipulation behaviors with suction and finger-based grippers

Reinforcement learning to improve manipulation robustness and dealing with new situations

AI systems (VLM, other) applied to various warehouse tasks, such as dealing with unexpected situations, dense packing, or error/damage detection. 

Functions:

Perform applied research in robot learning to address real-world warehouse challenges

Collaborate with other researchers and engineers to apply research findings to our robots

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

Demonstrated proficiency with major deep learning frameworks such as PyTorch

Experience with modern machine learning methods such as imitation learning, reinforcement learning, generative models, vision transformers, or related.

Exposure to developing ML models for hardware interacting with the real world

Experience developing in Linux (Ubuntu) and ROS

COOP-2604

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