🛠 Tech Stack

💼 About This Role

You'll develop cutting-edge Reinforcement Learning and Imitation Learning algorithms for humanoid robots, working with novel haptic and proprioceptive sensing techniques on an in-house dexterous hand. Your work will bridge simulation and real-world deployment to advance robotic manipulation.

🎯 What You'll Do

• Create and enhance RL/IL algorithms for manipulation tasks
• Design RL/IL training and data collection pipelines
• Evaluate algorithms in simulation and deploy on physical robots
• Collaborate with diverse team to innovate algorithms

📋 Requirements

• PhD in ML, CS, Math, or equivalent practical background
• 5+ years deploying robotic manipulation tasks in sim and real
• 5+ years applying RL/IL methods to robotics
• Python 3.8+ with PyTorch or TensorFlow

✨ Nice to Have

• Experience with sim-to-real transfer
• Track record of publications in ICRA, IROS, CORL
• Working knowledge of ROS2

🎁 Benefits & Perks

• 🤖 Work on cutting-edge humanoid robots
• 🔬 Access to unique haptic and proprioceptive sensing
• 🌍 Collaborate with world-class AI researchers