3D Computer Vision Research Engineer, Apple Maps

Apple • Cupertino, CA

1d

About The Position

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.

Requirements

• Strong background in computer vision and machine learning.
• Hands-on experience with visual understanding, object detection, segmentation, feature extraction, scene understanding, or related computer vision problems.
• Solid programming skills.
• Master’s degree with 2+ years of relevant experience.

Nice To Haves

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

Responsibilities

• Develop models and systems that extract meaningful map features from real-world imagery and other sensor data.
• Work on challenging real-world problems in visual understanding, map feature extraction, scene understanding, and physical-world reasoning.
• Develop novel methods that combine machine learning, 3D geometry, multimodal data, and large-scale systems to solve practical mapping problems at Apple Maps scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior