Pony.ai

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.

Listed Jobs

Company Name

Pony.ai

Job Title

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

Job Description

**Job Title** Research Intern (Deep Learning) **Role Summary** Collaborate with autonomous driving experts to design and develop large-scale foundational models using real-world data. Focus on deploying deep learning models (e.g., VLMs, LLMs) and optimizing them for real-time performance in autonomous systems. Develop multi-modality models for 3D object detection, tracking, segmentation, video understanding, scene interpretation, traffic control, and trajectory prediction. **Expectations** Currently enrolled in a Master’s or PhD program in Computer Science, Machine Learning, Robotics, or related field. **Key Responsibilities** 1. Design and develop large-scale foundation models using deep learning techniques. 2. Translate open-ended problems into well-defined ML/RL tasks for real-world implementation. 3. Build and deploy deep learning models (vision-language, large language models) for autonomous driving. 4. Implement multi-modality/multi-task models for perception, understanding, and decision-making. 5. Optimize models for real-time execution under constrained runtime environments. **Required Skills** - Strong foundation in deep learning, ML algorithm development - Proficiency in Python/C++ for software design and system development - Experience with model training, evaluation, and deployment - Data pipeline management with large-scale datasets - Familiarity with multi-modal model architectures **Required Education & Certifications** - Master’s or PhD candidate in Computer Science, Machine Learning, Robotics, or equivalent technical field.

Fremont, United states

On site

Fresher

10-11-2025