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Senior
Senior Staff Research Engineer – Reinforcement Learning for AI Agents
Confirmed live in the last 24 hours
XPENG Motors
Compensation
$244,140 - $413,160/year
Santa Clara, CA
On-site
Posted March 19, 2026
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:
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Reinforcement learning methods for LLM-driven agents and decision systems.
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Policy optimization for long-horizon reasoning and planning.
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Learning from human or AI feedback (RLHF / RLAIF).
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Agent training pipelines built on top of our agent infrastructure platform.
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Evaluation and benchmarking systems for agent capabilities.
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Learning loops that integrate real-world and simulation data.
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Contribute to AI systems that continuously improve after deployment.
pythongomachine learningaidatadesign
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