SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 179,400 - 303,600 / annual
XPeng Motors is one of China's leading smart electric vehicle (EV) companies, designing, developing, and manufacturing smart EVs integrated with advanced Internet, AI, and autonomous driving technologies. The company is committed to in-house R&D and intelligent manufacturing to create superior mobility experiences.
In this Staff Machine Learning Engineer role, you will research, develop, and deploy reinforcement learning-based methods for autonomous vehicle planning. You will work alongside world-class computer vision, AI systems, and software engineers to achieve industry-leading autonomous driving performance, leveraging massive real-world data from XPeng's autonomous fleet.
Key responsibilities include:
- Research and develop reinforcement learning algorithms for planning problems
- Design efficient model architectures optimized for real-time execution on vehicle computing platforms
- Develop offline, data-driven ML infrastructure for rapid adaptation of planning models
- Deliver production-ready planning software and collaborate closely with perception teams
- Work with large-scale field-testing data to continuously improve autonomous driving capabilities
- Design, run, and analyze experiments to evaluate solution efficiency on real-world data
- Partner with systems software engineers to ship production-grade ML models
- Communicate and collaborate across multi-functional teams
This is a full-time position offering competitive compensation, equity, and benefits, plus computational resources and the opportunity to work on cutting-edge autonomous driving technology.
Requirements:
- Bachelor's degree in Engineering, Robotics, Computer Science (with focus on Reinforcement Learning or AI), or equivalent experience
- 3–5+ years of experience with machine learning frameworks (PyTorch, TensorFlow)
- Strong applied reinforcement learning background: model architecture design, training, data mining, and analytics
- Strong Python programming and software design skills
- Solid understanding of data structures, algorithms, code optimization, and large-scale data processing
- Excellent problem-solving skills
Preferred qualifications:
- MS or PhD in Engineering, Robotics, or Computer Science (focus on RL/AI) or equivalent
- Production experience in autonomous driving or robotics
- Hands-on experience developing RL-based planning engines for autonomous driving or robotic systems
- Experience with model deployment and optimization tools (ONNX, TensorRT)
