Deep Learning Robot Manipulation Engineer

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. They are seeking a Deep Learning Manipulation Engineer to help train these robots for real-world environments, focusing on designing advanced deep learning models and optimizing manipulation strategies.

Responsibilities:

• Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands
• Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation
• Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies
• Work with the teleoperation and data team to design data collection and versioning strategies
• Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks
• Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors
• Collaboratively develop and optimize the manipulation ML pipeline
• Keep up to date with the state of the art in research and development
• Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments
• Collaborate in attracting, nurturing and growing the machine learning and autonomy teams