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As of Jul 14, 2026, the average yearly pay for vice president apple maps image collection in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.
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3D Computer Vision Research Engineer, Apple Maps

3D Computer Vision Research Engineer, Apple Maps

Apple

Cupertino, CA • On-site

Full-time

Posted 15 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

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.
Description
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.
Minimum Qualifications
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.
Familiarity with 3D geometry, spatial reasoning, or large-scale geospatial data is a plus.
Solid programming skills.
Master's degree with 2+ years of relevant experience.
Preferred Qualifications
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.

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About Apple

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Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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