XPENG

Staff Machine Learning Engineer

XPENG · Santa Clara, CA

Posted 23 days ago · $179,400 - $303,600

or apply directly on XPENG's site. We never take the application ourselves.

Is this posting real?

This role has been open
23 days
XPENG's roles stay open a median of 45 days
Reposted
No
Salary listed
Yes
72% of XPENG's roles list one
Ghost-job risk at XPENG
high
17 stale, 0 reposted of 29 open
Hiring momentum
32 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from XPENG's own greenhouse board since 2026-08-03. Full hiring picture for XPENG.

About this role

As a Staff Machine Learning Engineer at XPeng Motors, you will focus on implementing, evaluating, and deploying reinforcement learning methods for planning problems in autonomous vehicles. Your role will involve collaborating with a team of experts in computer vision and AI systems, utilizing massive data from the autonomous fleet to enhance driving solutions. You will also design model architectures for real-time applications and work closely with multi-functional teams to deliver intelligent autonomous driving systems.

Our read on this posting4.2out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of XPENG as an employer.

What you need

  • Education in Engineering, Robotics, Computer Science with a focus on Reinforcement Learning, Artificial Intelligence, or equivalent experience
  • Strong experience in applied reinforcement learning including model architecture design, model training, data mining, and data analytics
  • 3-5+ years of experience working with machine learning frameworks such as PyTorch, Tensorflow
  • Strong Python programming experience with software design skills
  • Solid understanding of data structures, algorithms, code optimization and large-scale data processing
  • Excellent problem-solving skills

Nice to have

  • MS or PhD level education in Engineering, Robotics or Computer Science with a focus on Reinforcement Learning, Artificial Intelligence, or equivalent experience
  • Related experience in autonomous driving or robotics production solutions
  • Hands on experience in developing RL based planning engine for autonomous driving or robotic system
  • Experience in model deployment and optimization tools such as ONNX and TensorRT

What you get

  • A fun, supportive and engaging environment
  • Infrastructures and computational resources to support your work
  • Opportunity to work on cutting edge technologies with the top talents in the field
  • Opportunity to make a significant impact on the transportation revolution by advancing autonomous driving
  • Competitive compensation package
  • Snacks, lunches, dinners, and fun activities

Worth weighing

  • Base salary range is provided, but individual pay depends on various factors including location and experience
  • The role requires strong reinforcement learning skills, which may be a niche area for some candidates

Summarised from XPENG's posting. Read the full original.

Listed by XPENG on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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