Skip to main content
TryApplyNow
Xpengmotors logo

Senior Staff Research Engineer – Reinforcement Learning for AI Agents

Xpengmotors
Full Timestaff
Santa Clara, CAPosted 5 weeks ago

Role Overview

Xpengmotors is hiring a Senior Staff Research Engineer – Reinforcement Learning for AI Agents. This is a full-time role in Santa Clara. Part of Xpengmotors's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonRHTMLPyTorchORCompensationBenefitsIlaFdwrzCokPoyxCHqDcqhYWnTe

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:

  • 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.

Basic Qualifications

  • 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.

Preferred Qualifications

  • 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.
 
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.
  • Competitive compensation package.
  • Snacks, lunches and fun activities.
 
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. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

About Xpengmotors

Xpengmotors logo

Xpengmotors

Data ScienceOn-site

17 other open roles at Xpengmotors on TryApplyNow.

Frequently Asked Questions

How do I apply for the Senior Staff Research Engineer – Reinforcement Learning for AI Agents position at Xpengmotors?

Use the Apply button above to submit your application directly to Xpengmotors. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Staff Research Engineer – Reinforcement Learning for AI Agents position at Xpengmotors located?

This position is based in Santa Clara. Xpengmotors has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Staff Research Engineer – Reinforcement Learning for AI Agents at Xpengmotors earn?

Xpengmotors has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Staff Research Engineer – Reinforcement Learning for AI Agents role at Xpengmotors posted?

This role was posted on June 1, 2026 (38 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

AI-powered job search

Get every job scored to your resume

Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.

Get started free

No credit card to start