Robotics ML R&D Co-op: Hands-on, Real-World Systems

Aimlroles

Tennessee

On-site

USD 34,000 - 48,000

Part time

14 days+

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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

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.

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