Founded in 2016 in Silicon Valley, (link removed) 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, (link removed) 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.ais leading position has been recognized, with CNBC ranking (link removed) on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, (link removed) was recognized on the XPRIZE and Bessemer Venture Partners inaugural XB list of the worlds top 100 private deep tech companies, ranking globally. As of August 2023, (link removed) has accumulated nearly 21 million miles of autonomous driving globally. (link removed) 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 perception 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.RequirementsCurrently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar fieldStrong 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 ExperiencePublications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAIExperience 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/TensorRTPrevious internships involving large-scale deep learning models and systemsPreferred graduate before Dec 2026 NoteThis position is rolling based and it can start any time.This position is fully onsite in Fremont, at least 3 months. CompensationMaster: $7000/monthPhD: $10,000/monthPlease click for our privacy disclosure.
Not specified in the original listing.
Not specified in the original listing.
