# Senior Staff Research Engineer – Reinforcement Learning for AI Agents

Hiring organization: [XPeng](https://career.thegoodapps.co/organizations/xpeng)

Canonical page: https://career.thegoodapps.co/jobs/cf67615a-2ce6-43b9-92d2-2d87eecfb1fd

Listed on XPeng's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior Staff
- Location: Santa Clara, CA
- Salary: 244140 – 413160 USD per year

## Summary

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._

## Skills named

JAX, LLMs (Large Language Models), Machine Learning, Python, PyTorch, Reinforcement Learning

## 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

Apply on XPeng's site: https://job-boards.greenhouse.io/xpengmotors/jobs/8469033002