Xpengmotors

Xpengmotors

Senior Staff Research Engineer – Reinforcement Learning for AI Agents

Santa Clara, CA · Staff+ · Full-time

Sponsorship not specified$244k-$413kDetected 57 days ago
PythonAlgorithmsMachine LearningPyTorchLLMsAgentic AIRoboticsResearch

About the role

  • 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.
  • 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.

Responsibilities

  • Experience building ML training systems or infrastructure.

Requirements

  • Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.

Nice to have

  • 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.
  • What do we provide:
  • A fun, supportive and engaging environment.
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
  • Opportunity to work on cutting edge technologies with the top talent in the field.

Compensation

  • The base salary range for this full-time position is $244,140 - $413,160, in addition to bonus, equity and benefits.
  • Our salary ranges are determined by role, level, and location.

Benefits

  • Reinforcement learning methods for LLM-driven agents and decision systems.
  • Learning from human or AI feedback (RLHF / RLAIF).
  • Learning loops that integrate real-world and simulation data.
  • MS or PhD in Computer Science, AI, Machine Learning, Robotics, or a related field.
  • Strong background in reinforcement learning or machine learning.
  • Experience with RLHF or preference learning.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Equal opportunity

  • We are an Equal Opportunity Employer.

This listing is sourced directly from Xpengmotors's careers page and normalized into a canonical job model.