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G2i Inc.

Robotics ML Expert, AI

G2i Inc.

Robotics ML Expert designing and iterating on MuJoCo simulation environments for robotics research and AI training. Implementing RL algorithms and evaluating policies for stability and transfer potential.

Posted 4/21/2026contractRemote • Florida • 🇺🇸 United StatesMid-LevelSenior💰 $30 - $70 per hourWebsite

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Design, build, and iterate on MuJoCo simulation environments for robotics research and AI training
  • Implement and tune RL algorithms (PPO, SAC, TD3) to train agents on simulated tasks
  • Define reward functions, observation spaces, and action spaces that produce robust, transferable policies
  • Debug and optimize physics simulations — contact models, actuator dynamics, scene configs
  • Evaluate trained policies for stability, generalization, and sim-to-real transfer potential
  • Document environment specs, training procedures, and experimental results clearly
  • Collaborate async with research teams and stay current with advances in robot learning and embodied AI

Requirements

What you’ll need
  • Strong hands-on experience with MuJoCo (or via dm_control, Gymnasium-Robotics, or similar)
  • Solid understanding of RL theory and practical training pipelines
  • Proficient in Python + ML frameworks (PyTorch or JAX)
  • Experience defining reward functions for complex robotic tasks
  • Familiar with robot kinematics, dynamics, and control fundamentals
  • Can read and write MJCF/XML model files and understand their physics implications
  • Self-directed, detail-oriented, comfortable working independently in an async environment
  • Strong written communicator — a big part of this role is explaining your reasoning clearly

Benefits

Comp & perks
  • Identity verification
  • Weekly payment via PayPal or Stripe

ATS Keywords

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Hard Skills & Tools
MuJoCoReinforcement LearningPPOSACTD3PythonPyTorchJAXrobot kinematicsrobot dynamics
Soft Skills
self-directeddetail-orientedindependent workstrong written communication