AI Engineer (Reinforcement Learning)

Your Mission

This position is responsible for incorporating deep reinforcement learning for robot teaching, he/she will develop innovative AI solutions for robotic applications. They should also research and develop algorithms for adaptive real-time robot motion control.

What To Expect

• Leverage deep reinforcement learning algorithms to develop robotic manipulation strategies through simulated robot teaching.
• Utilize LLM and related technologies to accelerate the process of robot teaching.
• Design, develop and utilize simulated environments and digital twin for advanced robot applications.
• Research, design and develop solutions for bridging the gap between simulation and real-world applications.
• Research and develop adaptive real-time robot motion control and collision avoidance.
• Evaluate and perform calibration for various sensors to ensure the collection of accurate data for training and evaluation.
• Documentation of technical reports, program codes, and set-up manuals.

What You'll Bring

• A Master's or Ph.D. degree in Electrical/Mechanical/Computer Engineering or a relevant discipline with more than 5 years of industry experience.
• Strong foundation in deep learning techniques, particularly deep reinforcement learning.
• Experience with simulation/digital twin platforms (e.g., MuJoCo, Isaac Sim, Unity).
• Perform kinematic and dynamic analysis of robot manipulators to ensure safe and accurate operation.
• Proficiency in programming languages such as C/C++ and Python. 
• Experience with ROS 1/2 and other similar libraries or software tools.
• Knowledge of data quality requirements for different AI training tasks and data acquisition protocols.
• Proven experience in developing and deploying deep reinforcement learning algorithms in real-world applications.
• Any patent, publication, specialist certification, or award in robotics and automation is an added advantage.