2026 Summer Intern – MS/PhD – Perception
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. The Perception Intern will support the development and evaluation of perception systems, working with multi-modal sensor data and computer vision models to enhance detection and tracking capabilities. Responsibilities Assist in building and refining perception algorithms for 3D object detection, tracking, segmentation, and scene understanding Analyze sensor data (e.g., images, video, lidar, radar) to improve model accuracy and robustness Support data preprocessing, labeling, augmentation, and validation workflows Conduct experiments to benchmark perception models and propose improvements Collaborate with cross-functional teams (Behaviors, Actions, Platforms teams) to integrate perception outputs into downstream decision-making systems Document findings, tools, and results in clear and reproducible formats Skills Currently pursuing a Masters/PhD degrees in Computer Science, Machine Learning, Robotics or a related field Proficient at Python and/or C++ Coursework or project experience in computer vision, machine learning, and data processing Familiarity with popular deep learning frameworks such as PyTorch or TensorFlow Experience with image/video processing tools and libraries Experience with 3D perception, point cloud processing, or multi-sensor fusion Exposure to robotics, autonomous systems, or real-time perception pipelines Knowledge of evaluation frameworks and datasets Company Overview Motional offers an autonomous driving platform for robotaxi providers, fleet operators, and automotive manufacturers. It was founded in 2020, and is headquartered in Boston, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship Motional has a track record of offering H1B sponsorships, with 56 in 2025, 111 in 2024, 57 in 2023, 110 in 2022, 100 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.