Deep Reinforcement Learning Algorithm Engineer
Unitree RoboticsVisit Unitree Robotics website
Unitree Robotics is a Hangzhou-based public robotics company that develops and sells legged and humanoid robots for consumer, education, industrial, and research applications.
Hangzhou, China
Investors
About Unitree Robotics
The brand Unitree Robotics is operated by Yushu Technology Co., Ltd. (宇树科技股份有限公司). Its current portfolio includes quadruped robots, humanoid robots, robotic arms, perception hardware, and associated support and developer resources.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research deep reinforcement-learning algorithms for decision planning in multi-degree-of-freedom, bipedal, and quadrupedal biomimetic robots. You will develop and debug models and validate them on physical robots.
Requirements
- Knowledge of advances in learning-based control
- Knowledge of underactuated multi-degree-of-freedom robot dynamics
- Knowledge of C++ and Python
- Knowledge of PyTorch or TensorFlow
- Knowledge of ROS
- Knowledge of robot simulation software such as NVIDIA Isaac Sim, MuJoCo, RaiSim, Gazebo, PyBullet, or V-REP
- Knowledge of PPO, SAC, DQN, DDPG, or A3C
- Deep reinforcement-learning research project experience applied to robots
- Top-tier AI or robotics conference or journal publications are preferred
Responsibilities
- Research deep reinforcement-learning algorithms for robot decision planning
- Develop and debug deep reinforcement-learning models
- Validate algorithms on physical robots