Machine Learning Research Intern
IdeogramPart Time
Entry Level & New Grad
Key technologies and capabilities for this role
Common questions about this position
The salary is $7000 for Master's students.
This is a fully onsite position in Fremont, requiring at least 3 months commitment.
Candidates need to be pursuing a Masters or PhD in Computer Science, Machine Learning, Robotics or similar, with a strong background in deep learning including model design, training, and evaluation, proficiency in Python and C++, and experience with large-scale datasets and data pipelines.
This role involves working with experts in self-driving vehicles at a global leader in autonomous mobility, located in Silicon Valley, with a focus on pioneering autonomous driving technologies.
Strong candidates will have publications in top-tier conferences like CVPR, ICCV, NeurIPS, experience in ML/DL for behavior prediction or imitation learning, real-time deployment of deep learning models, and GPU/CUDA/TensorRT experience, and plan to graduate before Aug 2026.
Develops autonomous driving technology solutions
Pony.ai develops technology for autonomous driving, focusing on creating systems that can operate vehicles without human intervention. Their main product, the "virtual driver," is tested extensively in various driving conditions to ensure reliability. This technology is utilized in three main areas: Robotaxi services for passengers, Robotruck services for logistics and freight, and Personally Owned Vehicles for individual users. Unlike many competitors, Pony.ai tailors its solutions to meet the needs of different customer segments, including everyday travelers and commercial logistics companies. The company's goal is to advance autonomous mobility, making it accessible and efficient for everyone.