Job Specifications
Description
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.
Responsibility
Work with experts in the field of self-driving vehicles on designing and developing large-scale foundation models trained on vast amounts of real world data.
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars.
Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
Design and implement multi-modality and multi-task models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding, traffic control, or trajectory prediction, etc.
Optimize deep learning models to run robustly under tight run-time constraints.
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, data preprocessing, and pipeline management.
Preferred Experience
Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI
Experience in applying ML/DL for behavior prediction, imitation learning, motion planning.
Experience in deploying deep learning algorithms for real time applications, with limited computing resources.
Experience in convex optimization, computational geometry or linear algebra.
Experience in GPU/CUDA/TensorRT
Previous internships involving large-scale deep learning models and systems
Preferred graduate before Dec 2026
Note
This position is fully onsite in Fremont, at least 3 months
Compensation
Master: $7000/month
PhD: $10,000/month
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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 As...
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