Machine learning & robotics scientist

Foundation is developing the future of general purpose robotics with the goal to address the labor shortage. We are looking for exceptional engineers and scientists to join our team, with a focus on machine learning and robotics.

Requirements

• Design, develop, and optimize reinforcement learning algorithms with world models for real-time control and locomotion of humanoid robots.
• Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation.
• Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software.
• Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability.
• Contribute to the continuous development of our in-house training pipelines and tooling.

Benefits

• Competitive salary and benefits package
• Opportunity to work with a talented team on a groundbreaking project
• Professional development and growth opportunities