Apple is where individual imaginations come together to create products, services, and experiences that enrich people's 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 meaningful.
The 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 platforms.
As 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.
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. Prototype, develop, and evaluate computer vision and machine learning algorithms for real-world map feature extraction problems. Build models and systems for visual understanding, scene understanding, map automation, and physical-world reasoning. Work with large multimodal datasets, including aerial, satellite, and ground imagery. Develop methods for detecting, extracting, classifying, and validating map-relevant features from imagery and sensor data. Collaborate with cross-functional teams to bring research ideas into production-quality systems.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.