Robot Learning Engineering Intern
Bosch Group
The Robot Learning Lab at Bosch Research Pittsburgh invites skilled robotics research engineers for R&D at the intersection of robotics systems, telemetry / sensor data capture, and machine learning. The role will work closely with internal teams of robotics research scientists, research engineers, and research interns; the role will focus on mocap/teleoperated data-collection, robotics hardware management, robotics station-building, and machine learning engineering — particularly for constructing high-quality datasets that will be used for training robot foundation models and for contributing to methodological development using said models deployed for diverse robot embodiments.
Tasks
- Operate robot teleoperation systems to guide robots through designated tasks, with a careful consideration about smooth, high-quality, and task-relevant motion-capture;
- Perform manipulation tasks through teleoperation, extended reality (XR), or human data collection modes, to produce data that captures meaningful object interactions;
- Coordinate with the ML team to plan data collection, manage machine availability, and adapt to
- changing priorities;
- Apply systems instincts to identify mechanical inconsistencies, behavioral anomalies, UX gaps, and workflow issues;
- Ensure safe operation of all robotics systems, adhering to protocols for both human and machine safety;
- Leverage and extend existing robot operation procedures, ensuring safe operation of all robotics systems and adhering to protocols for both human and machine safety;
- Develop robot learning methods, leveraging collected data to train robot policies for various challenging tasks on various robot platforms;
- Work with team to produce high-quality experiments for academic publications
- and industrial deployments;
- Support team in drafting publications, invention reports, and technical reports.