Robotics ML Expert, AI

📋 Description

• Design and iterate MuJoCo simulation environments for robotics AI
• Implement and tune RL algorithms (PPO, SAC, TD3) on simulated tasks
• Define reward, observation, and action spaces for transferable policies
• Debug and optimize physics: contact models, actuators, scene configs
• Evaluate policies for stability, generalization, and sim-to-real transfer
• Document environment specs, training procedures, and results clearly

🎯 Requirements

• MuJoCo experience or via dm_control, Gymnasium-Robotics or similar
• Solid RL theory and practical training pipelines
• Python + ML frameworks (PyTorch or JAX)
• Experience defining rewards for complex robotic tasks
• Familiar with robot kinematics, dynamics, and control fundamentals
• Read/write MJCF/XML models and understand their physics

🎁 Benefits

• Fully remote work from anywhere within accepted locations
• Async collaboration with research teams
• Flexible project-based hours
• Weekly payments via PayPal or Stripe
• Opportunities to work on cutting-edge robotics RL