persona.ai Staff Engineer, Deep Learning Manipulation at persona.ai to build and execute robot learning capabilities for humanoid robots. Drive and implement learning-based manipulation models for industrial robustness.
Responsibilities
We're looking for a Staff Deep Learning, Robot Manipulation Engineer to help build and execute Persona AI's robot learning capability and roadmap. We're looking for exceptional talent who dream big, thrive on challenges, and love seeing their efforts make an impact on Persona’s humanoid robots doing real work in real-world environments.
If you want to push the boundary of humanoid robot capability performing real-world tasks, this role is for you.
What You Will Be Doing
Design and implement advanced robot learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
Own the ML manipulation pipeline and roadmap, combining different learning paradigms to achieve real-world, industrial-level robustness.
Work with the Teleoperation and Data team to design data collection, sensor modularity, and data mixture 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.
Keep up to date with the state of the art in ML 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 team.