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AI & Robotics Research Engineer - Learned Dexterous Manipulation

AI & Robotics Research Engineer - Learned Dexterous Manipulation

On site

Palo alto, United states

$ 250,000 /year

Full Time

13-01-2026

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Skills

Python Training Linux Machine Learning C++ Robotics

Job Specifications

“Proception is seeking an expert in reinforcement learning to help build foundation models for dexterous humanoid manipulation. You will lead the design of scalable RL pipelines, train robust policies on high-DOF robotic hands, and deploy intelligent behaviors that push the limits of real-world robotic control.”

Role Details

Design and deploy scalable RL systems for high-DOF humanoid and dexterous robotic hands
Develop foundation models for manipulation tasks such as grasping, in-hand reorientation, and tool use
Train policies that are robust to real-world uncertainty, including contact variation, sensor noise, and hardware drift
Build and maintain physics-accurate simulation environments using MuJoCo or Isaac Lab
Apply advanced RL and control techniques to model complex object–hand interactions
Develop imitation and hybrid learning pipelines from human demonstrations
Leverage multimodal feedback (vision, proprioception, tactile sensing) for adaptive manipulation
Explore learning-driven optimization of robot hardware, morphology, and actuation strategies
Work closely with hardware, perception, and systems teams to deploy policies on real robots

Requirements

MS or PhD in Robotics, Computer Science, Machine Learning, or equivalent industry experience
Deep expertise in reinforcement learning, policy optimization, and continuous-control systems
Strong foundation in probability, optimization, and linear algebra
Hands-on experience training and deploying RL policies on real robotic systems
Proficiency in Python and C++ on Linux/Unix platforms
Experience with robotics simulators such as MuJoCo or Isaac Sim
Familiarity with imitation learning, inverse RL, or hybrid learning approaches
Ability to design scalable training infrastructure and manage large-scale experiments
Experience with tactile sensing, contact-rich manipulation, or robot morphology optimization is a plus
Self-driven, curious, and excited to build systems that work beyond simulation

About the Company

Our mission is to advance humanoid robotics through cutting-edge innovations, driving the evolution and capabilities of humanoid robots worldwide Know more