Research Intern (Deep Learning), 2026 Spring (Master/PhD)
pony.aiFremont, California, United States
Posted October 14, 2025
84000 - 120000 USD year
Internship
About the Company
Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility. Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases. Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology. Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis. To date, Pony.ai has driven nearly 45 million autonomous testing and operation kilometers on open roads worldwide.
Job Description
Pony.ai is a leading autonomous mobility company focused on commercializing the safe and efficient use of autonomous driving technologies. They are a fast-growing company, recently going public in 2024. This research intern role will contribute to the development of large-scale foundation models and deep learning models for real-world applications in autonomous vehicles.
Requirements
- Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field
- Strong background in deep learning, with experience in model design, training and evaluation
- Experience with deep learning research and tools
- Proficiency in software design and development using Python and C++
- Experience working with large-scale datasets and pipeline management
