Founding Robotics ML Research Engineer

• Deploy modern behavior cloning and reinforcement learning policies for dextrous tasks in the data center, with a focus on high success rates.
• Lead the software infrastructure for data collection, training, and real-time operation.
• Stay at the frontier of robotics learning research and translate it into production-ready systems that push the boundaries of today’s state of the art.

• Background in Robotics, Computer Science, Machine Learning, or a related field (MS/PhD preferred).
• Experience training large manipulation models (diffusion policies , VLAs)
• Experience developing and deploying learning-based control and perception algorithms on real robots.
• Experience with common ML tools, architectures, and workflows
• Strong foundation in classical manipulation, control theory, and motion planning.
• Comfort working in small, fast-paced teams where experimentation is constant and results matter.
• Familiarity with various robot teleoperation techniques.

• Track record of publishing or contributing to top-tier conferences like ICRA, CoRL, RSS, NeurIPS, or CVPR.
• Background in embedded AI or edge deployment.
• Contributions to open-source robotics or ML projects.
• Experience deploying robots in production or industrial environments.
• Exposure to tactile sensing for manipulation.

Why you’ll join us