Senior Reinforcement Learning Engineer - Robotics

The role

This person will research, build and test deep-learning and reinforcement learning controllers for humanoid robots, including legged locomotion and whole-body control. They will also work on closing the gap between simulation and real hardware.

What you will do

• Research, implement and evaluate deep-learning methods for legged locomotion and whole-body control in humanoid robots.
• Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning or other advanced techniques.
• Design, run and analyze experiments to evaluate RL controllers and address sim-to-real challenges.
• Keep up with and integrate the latest academic and engineering research in humanoid robotics.

Required qualifications

• Advanced degree in Mechanical Engineering, Computer Science, Robotics or a related field. Fresh graduates are open to apply.
• Proficiency in Python and strong software design skills.
• 1-3+ years of experience with deep learning frameworks such as PyTorch.
• Strong understanding of reinforcement learning and imitation learning techniques.
• Proven experience applying algorithms such as PPO, DQN, SAC to real-world problems.

Nice to have

• Experience with C++.
• Hands-on experience with control and operation of legged robot hardware.

Benefits

• Competitive compensation package and benefits.
• Snacks, lunches and fun activities.
• A fun, supportive and engaging environment.
• Opportunity to make a significant impact on the future of transportation and robotics.
• Opportunity to work on cutting-edge technologies with top talent in the field.

Before you apply

• Equal opportunity employer.

About the company

XPENG is a smart technology company integrating AI and autonomous driving into electric vehicles, eVTOL aircraft and robotics. It focuses on intelligent mobility and R&D in AI, machine learning and smart connectivity.