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Senior Staff Research Engineer – Reinforcement Learning for AI Agents
XPengSanta Clara, CA · full time · Senior Staff
$244,140 – $413,160
Listed on XPeng’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
XPENG seeks a research engineer to develop reinforcement learning systems that enable AI agents to plan, learn, and improve through real-world interaction and feedback in autonomous vehicles and robotics. This role combines RL algorithm development with LLM-based agents and autonomous systems, suited for someone with strong ML fundamentals who wants to work on learning systems at scale.
Our summary, not XPeng’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- MS or PhD in Computer Science, AI, Machine Learning, Robotics, or related field
- Strong background in reinforcement learning or machine learning
- Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods
- Strong Python programming with PyTorch or JAX
- Experience building ML training systems or infrastructure
Nice to have
- Experience with RLHF or preference learning
- Experience with LLM agents or tool-using AI systems
- Multi-agent systems or long-horizon planning experience
- Familiarity with simulation environments for RL
- Publications in NeurIPS, ICML, ICLR, ACL, or related venues