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Machine Learning Engineer Intern

Pony.ai is a global leader in autonomous mobility, recognized for its innovative technologies and services. They are seeking a Machine Learning Engineer Intern to develop technologies that enhance the training and inference of AI models used in autonomous driving systems.

Machine Learning Engineer Intern, ML Runtime & Optimization (Spring 2026, Master/PhD)

MLE Intern, ML Runtime & Optimization

Pony.ai is a global leader in autonomous mobility, committed to developing the safest autonomous driving capabilities. As a Machine Learning Engineer Intern, you will develop technologies to enhance AI model training and inference in autonomous driving systems, focusing on performance and efficiency optimization.

MLE Intern, ML Runtime & Optimization (Spring 2026, Master/PhD)

Software Engineer - Perception Infrastructure

Pony.ai is a global leader in autonomous mobility, recognized for its innovative technologies and services. The Software Engineer in Perception Infrastructure will develop the foundation for the Perception System used in self-driving vehicles, collaborating with top developers and researchers to enhance performance and quality.

Senior Software Engineer, Infrastructure (Kubernetes Platform)

Pony.ai is a global leader in autonomous mobility, committed to developing the safest autonomous driving capabilities. The role involves designing, operating, and optimizing Kubernetes clusters across hybrid cloud environments, supporting diverse workloads, and contributing to observability and SRE practices.

(Senior) Software Engineer, Infrastructure (Kubernetes Platform)

Software Engineer, Infrastructure (Onboard System & Toolchain)

Pony.ai is a global leader in autonomous mobility, recognized for its innovative technologies and services. The company seeks a talented Software Engineer to join their Onboard Infrastructure team, responsible for designing and maintaining core systems and toolchains that support the development of fully autonomous driving technologies. The role involves building scalable pipelines, optimizing performance, and collaborating with various engineering teams.

Research Intern (Deep Learning)

Pony.ai is a global leader in autonomous mobility, focused on developing the safest autonomous driving capabilities. The Research Intern will work with experts to design and develop large-scale foundation models, optimize deep learning models, and apply cutting-edge machine learning approaches to real-world problems.

Research Intern (Deep Learning), 2026 Spring (Master/PhD)

Software Engineer, Map Generalist

Pony.ai is a global leader in autonomous mobility, pioneering technologies and services in this rapidly expanding field. The Software Engineer, Map Generalist role focuses on developing scalable solutions for HD mapping challenges in autonomous driving and involves collaborating with cross-functional teams to enhance system performance.

Pony.ai is a global leader in autonomous mobility, focusing on the development of safe and innovative autonomous driving technologies. The Software Engineer in Perception Infrastructure will develop the foundation for the Perception System used in self-driving vehicles, collaborating with top developers and researchers to enhance performance and quality.

Uber, Lyft Team Up With Tesla Robotaxi Rival Baidu's Apollo Go In The UK

Pony.ai is a global leader in autonomous mobility, recognized for its innovative technologies and services in the autonomous driving sector. They are seeking a (Senior) Kubernetes Engineer to design and optimize Kubernetes clusters across hybrid cloud environments while supporting various workloads and contributing to observability practices.

Machine Learning Engineer, ML Runtime & Optimization

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.