Staff Reinforcement Learning Engineer - Robotics

Job Description

XPENG, a leading smart technology company, is seeking a Staff Reinforcement Learning Engineer to contribute to the advancement of robotics. This role involves researching, implementing, and evaluating deep-learning-based methods for legged locomotion and whole-body control problems in humanoid robots. The Staff Reinforcement Learning Engineer responsibilities include:

• Research, implement, and evaluate deep-learning-based methods.
• Develop and refine end-to-end robot motion controllers.
• Design, execute, and analyze experiments.
• Stay updated and integrate the latest advancements.

Requirements:

• Advanced degree in Mechanical Engineering, Computer Science, Robotics, or a related field.
• Proficiency in Python and strong software design skills.
• 3-5+ years of experience with deep learning frameworks like PyTorch.
• Strong understanding of reinforcement learning and imitation learning techniques.
• Proven experience applying algorithms such as PPO, DQN, SAC, etc., to real-world problems.

XPENG offers:

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