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Founder and CEO

With a single - season revenue of 154 million yuan, Pony.ai is now a stock with a skyrocketing revenue in the Robotaxi sector.

PONY AI Inc. Accelerates Gen-7 Robotaxi Production with over 200 Newly Produced, On Track to Scale Up 1,000-Vehicle Fleet by Year End

Pony.ai Releases Q2 Report, Global Expansion of Robotaxi Continues

Intel, Sinclair and Tencent Music rise premarket; Celanese falls

Software Engineer, Deep Learning

Pony.ai is a global leader in autonomous mobility, pioneering technologies and services for autonomous driving. The Software Engineer, Deep Learning role involves working on software architecture, developing large-scale foundation models, and applying machine learning approaches to real-world problems in autonomous vehicles.

Machine Learning Engineer, ML Runtime & Optimization

Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems.

Pony.ai is a global leader in autonomous mobility, recognized for its innovative technologies and services in the autonomous driving sector. The Machine Learning Engineer in ML Runtime & Optimization will develop technologies to enhance the training and inference of AI models for autonomous driving, collaborating across teams to optimize algorithms and improve performance on advanced compute architectures.

Staff Software Engineer - Machine Learning Platform

Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. They are seeking a Staff Software Engineer to lead the development and optimization of their machine learning platform, improving scalability and efficiency while collaborating with various teams.

Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. The Staff Software Engineer will lead the development of the machine learning platform, focusing on optimizing training infrastructure and collaborating with various teams to enhance model deployment capabilities.