Machine Learning Engineer

Job Description

WeRide.ai (NASDAQ: WRD), established in 2017, is a leading global commercial-stage company developing autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world holding driverless permits in China, the UAE, Singapore, and the US, with R&D, testing, and operations active in over 30 cities across 9 countries. Our self-driving fleet has been operating for more than 1,800 days.

We are committed to creating efficient autonomous driving algorithms and evaluation systems that enhance and optimize our technology. As end-to-end models mature, we integrate advanced model techniques and capabilities into the autonomous driving space — covering tasks such as path planning, scene generation, and reconstruction using large-scale driving data.

We are seeking highly skilled algorithm engineers with deep expertise in Multi-Agent Planning, 3D Reconstruction, and World Model development to join our team.

What You Will Do:

• Multi-Agent Planning: Design and optimize path planning algorithms for realistic and logical road participant movements, modeling multi-agent interactions for rich and complex driving environments.

• 3D Reconstruction: Develop and enhance 3D reconstruction algorithms to produce high-precision environmental models from diverse sensor data.

• World Model: Create and maintain integrated world models for vehicles by merging multiple sensor inputs to boost simulation capabilities.

• Collaboration: Work with perception, control, and software engineering teams to advance projects.

• Performance Optimization: Analyze and improve algorithm performance for efficiency and reliability in real-world scenarios.

• Research & Innovation: Stay current with the latest research and innovations in autonomous driving and apply them to improve systems.

Requirements:

• Master’s or PhD in Computer Science, Electrical Engineering, Robotics, or related field.

• Minimum 5 years’ relevant experience, especially in autonomous driving, robotics, or model development.

• Strong skills in C++ and Python with proven algorithm design and implementation expertise.

• Practical knowledge in path planning, 3D reconstruction, and environmental modeling.

• Familiarity with deep learning, reinforcement learning, and machine learning techniques.

• Solid mathematical foundation for complex algorithm analysis and optimization.

• Excellent communication and teamwork skills.

• Creative, proactive, and solutions-focused.

Preferred Skills:

• Published research in top-tier conferences/journals.

• Experience with ROS, TensorFlow, or PyTorch.

• Participation in autonomous driving competitions or relevant projects.

Compensation & Benefits:

• Base salary: $150,000 – $220,000/year (depending on experience)

• Annual performance bonus and equity options

• Premium medical, dental, and vision plans (100% covered)

• Free daily breakfast, lunch, and dinner

• Paid vacations and holidays

• 401K plan

Curated by the AIJabz team – we feature only the most relevant, real-world AI opportunities.

How to Apply:
Apply directly through