Senior Staff Research Engineer – Reinforcement Learning for AI Agents

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are looking for exceptional Research Engineers / Scientists to design learning systems that allow agents to plan over long horizons, learn effective strategies, and improve through experience. This role sits at the intersection of reinforcement learning , large language models, and real-world autonomous systems . Autonomous systems must operate reliably in complex, dynamic environments. We believe the next generation of autonomy will involve learning agents that continuously improve through interaction, feedback, and large-scale data . You will help build the learning systems that power these agents . Key Responsibilities: Reinforcement learning methods for LLM-driven agents and decision systems. Policy optimization for long-horizon reasoning and...