Robotics ML Expert, AI
Tasks
- Assess sim to real transfer potential
- Collaborate with research teams
- Debug physics simulations
- Define reward functions
- Design MuJoCo simulation environments
- Design observation and action spaces
- Document environment specs and experiments
- Evaluate policy stability and generalization
- Implement reinforcement learning algorithms
- Optimize contact models and actuator dynamics
- Tune training pipelines
Perks/Benefits
Skills/Tech-stack
Agent systems | Control Theory | Dm_control | Domain Randomization | Drake | Function design | Genesis | Gymnasium Robotics | Hierarchical reinforcement learning | Imitation Learning | Isaac-Gym | JAX | MJCF | Model-based reinforcement learning | Mujoco | Multi-Agent | Multi-Agent Systems | PPO | PyBullet | PyTorch | Python | Reinforcement Learning | Reward Function | Reward function design | Robot Kinematics | Robot dynamics | SAC | Sim-to-Real | Sim-to-Real Transfer | System Identification | TD3 | World Models | XML
Education
N/A
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