Senior Robotics R&D Engineer — Production-Ready ML & Vision

Berkshire Grey, Inc.; Bedford (MA); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Berkshire Grey, Inc. is a leader in AI and robotics in the United States, driving automation for warehousing and logistics.

We seek a researcher to advance manipulation and perception for real-world robotic systems, spanning from drivers to multi-robot orchestration in our in-house proving ground. You will contribute to training ML architectures, develop data-collection tools, and collaborate with partners on challenging problems.

Qualifikationen

• Master’s degree in Robotics, ML, CV, CS or closely related field.
• Experience in software development within robotics or automation.
• Strong development skills in Python and C++.
• Familiarity with ROS/ROS2 and modern software tooling (Git, CI/CD).
• Experience building software/algorithms for real robots and troubleshooting.
• Ability to communicate priorities and work with diverse teams.

Aufgaben

• Contribute to training and adapting ML architectures for robot learning and scene understanding.
• Develop and improve Berkshire Grey’s robot policy data-collection app.
• Decide demonstrations, logs, annotations, and data for fine-tuning on new tasks.
• Stay updated with robotics advances and evaluate applicability.
• Collaborate with external research partners to solve BG’s problems space.
• Mentor junior engineers or interns and share knowledge.
• Prototype solutions quickly and create demos for stakeholders.
• Own solutions from prototype to robust production-ready features.

Kenntnisse

Python

C++

ROS/ROS2

Git

CI/CD

Machine Learning

Computer Vision

Ausbildung

Master's degree in Robotics or related field

Tools

PyTorch

Isaac Sim

OpenAI Gym

Docker

Jobbeschreibung

Berkshire Grey, Inc. is a leader in AI and robotics in the United States, driving automation for warehousing and logistics.

We seek a researcher to advance manipulation and perception for real-world robotic systems, spanning from drivers to multi-robot orchestration in our in-house proving ground. You will contribute to training ML architectures, develop data-collection tools, and collaborate with partners on challenging problems.