3D Computer Vision Research Engineer, Apple Maps

Apple is where individual imaginations come together to create products services and experiences that enrich peoples lives. At Apple great ideas become stronger through collaboration diverse perspectives and a shared commitment to doing our best work. Here you will do more than join a team you will add something 3D Vision team at Apple Maps is looking for exceptional computer vision and machine learning talent to help build the next generation of map automation and spatial intelligence technologies. Our team researches develops and deploys algorithms at global scale working with extremely large multimodal datasets collected from aerial satellite and ground-based part of this team you will work on challenging real-world problems in visual understanding map feature extraction scene understanding and physical-world reasoning. The technologies we build help create and maintain high-quality map data that powers user-facing Apple Maps experiences and broader Apple products.n

You will join a small fast-paced team of computer vision and machine learning experts working on large-scale visual understanding for Apple Maps. This role focuses on developing models and systems that extract meaningful map features from real-world imagery and other sensor data. Example areas include object and feature detection semantic understanding attribute prediction imagery-based map updates scene-level reasoning and multimodal understanding. You will help develop novel methods that combine machine learning 3D geometry multimodal data and large-scale systems to solve practical mapping problems at Apple Maps scale.n

Prototype develop and evaluate computer vision and machine learning algorithms for real-world map feature extraction models and systems for visual understanding scene understanding map automation and physical-world with large multimodal datasets including aerial satellite and ground methods for detecting extracting classifying and validating map-relevant features from imagery and sensor with cross-functional teams to bring research ideas into production-quality open-ended technical challenges with curiosity pragmatism and strong engineering judgment.

Strong background in computer vision and machine -on experience with visual understanding object detection segmentation feature extraction scene understanding or related computer vision with 3D geometry spatial reasoning or large-scale geospatial data is a programming degree with 2 years of relevant experience.

PhD degree in Computer Vision Machine Learning AI Computer Science Electrical Engineering or a related in top-tier CV/ML conferences such as CVPR ICCV ECCV NeurIPS ICLR SIGGRAPH or related with vision-language models multimodal LLMs reasoning models or generative image/video models is a building ML systems for large-scale real-world visual of 3D geometry geospatial data or computer graphics fundamentals is a C/C and Python programming skills.