Machine Learning Engineer

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.

WeRide.ai is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives.

What you will do:

• Active learning and Bayesian optimization
• Anomaly detection
• Deep networks
• Distributed/parallel learning algorithms
• Learning control
• Predictive modeling

Requirements:

• PhD in Electrical Engineering, Computer Science/Engineering or a related field.
• 3 or more years of relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing
• Excellent knowledge of theory and practice of machine learning.
• Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus.
• Knowledge of common machine learning frameworks.
• Track record of research excellence or significant product development.
• Knowledge of application areas such as computer vision or robotics

Plus:

• Strong understanding of recent advancements in machine learning research