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# Research Engineers / Scientists to design learning systems

- **Company:** XPeng Inc.
- **Location:** Santa Clara, United States
- **Experience:** Expert
- **Salary:** $244,140.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Python (Programming Language), Machine Learning, Reinforcement Learning, Pytorch, Large Language Models, Multi-Agent Systems, Information Technology
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/ef5128cd-656e-4704-8a35-6bad4158ac3f

## About the Role

* MS or PhD in Computer Science, AI, Machine Learning, Robotics, or a related field.
 * Strong background in reinforcement learning or machine learning.
 * Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.
 * Strong programming skills in Python with PyTorch or JAX.
 * Experience building ML training systems or infrastructure., * Experience with RLHF or preference learning.
 * Experience with LLM agents or tool-using AI systems.
 * Multi-agent systems or long-horizon planning.
 * Simulation environments for RL.
 * Publications in NeurIPS, ICML, ICLR, ACL, or related venues.

## Description

* Reinforcement learning methods for LLM-driven agents and decision systems.
 * Policy optimization for long-horizon reasoning and planning.
 * Learning from human or AI feedback (RLHF / RLAIF).
 * Agent training pipelines built on top of our agent infrastructure platform.
 * Evaluation and benchmarking systems for agent capabilities.
 * Learning loops that integrate real-world and simulation data.
 * Contribute to AI systems that continuously improve after deployment.


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