Robotics ML Expert — AI Simulation & MuJoCo

What You'll Do

• Design, develop, and iterate on MuJoCo simulation environments for robotics research and AI training
• Implement and tune reinforcement learning algorithms (PPO, SAC, TD3, etc.) to train agents in simulated tasks
• Define reward functions, observation spaces, and action spaces that produce robust, transferable policies
• Debug and optimize physics simulations — contact models, actuator dynamics, and scene configurations
• Evaluate trained policies for stability, generalization, and sim-to-real transfer potential
• Document environment specifications, training procedures, and experimental results clearly and thoroughly
• Collaborate asynchronously with research teams to align simulation work with broader project goals
• Stay current with the latest advances in robot learning, simulation, and embodied AI

Who You Are

• Strong hands-on experience with MuJoCo (or MuJoCo via dm_control, Gymnasium/Gymnasium-Robotics, or similar wrappers)
• Solid understanding of reinforcement learning theory and practical training pipelines
• Proficient in Python and comfortable with ML frameworks such as PyTorch or JAX
• Experienced in defining and shaping reward functions for complex robotic tasks
• Familiar with robot kinematics, dynamics, and control fundamentals
• Able to read and write MJCF/XML model files and understand their physics implications
• Self-directed, detail-oriented, and comfortable working independently in an async environment
• Strong written communicator who can document technical work clearly

Nice to Have

• Experience with sim-to-real transfer techniques (domain randomization, system identification)
• Familiarity with other physics simulators — Isaac Gym, PyBullet, Drake, or Genesis
• Background in multi-agent environments or hierarchical RL
• Published research or open-source contributions in robotics, RL, or embodied AI
• Experience with imitation learning, model-based RL, or world models
• Graduate-level coursework or degree in robotics, ML, computer science, or a related field

Why Join Us

• Work on cutting-edge robotics and AI simulation projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, milestone-driven work
• Directly influence how AI agents learn to interact with the physical world
• Engage with a global community of top-tier ML and robotics practitioners
  • Potential for ongoing work and contract extension as new projects launch