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Afternoon Apple Maps Image Collection Jobs (NOW HIRING)

Apple

Camera Architect

Sunnyvale, CA · On-site

$184K - $324K/yr

Perform design studies for imaging system proposals, mapping to system requirements and performance ... image processing pipeline Pay & Benefits At Apple, base pay is one part of our total compensation ...

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Afternoon Apple Maps Image Collection information

What is the difference between Afternoon Apple Maps Image Collection vs Apple Maps Data Analyst?

AspectAfternoon Apple Maps Image CollectionApple Maps Data Analyst
Primary RoleCollecting and capturing images for Apple Maps during afternoon hoursAnalyzing map data, user feedback, and improving map accuracy
Required SkillsPhotography, data collection, attention to detailData analysis, GIS, reporting skills
Work EnvironmentFieldwork, outdoor locations, on-site image capturingOffice-based, data review, and analysis
Industry UsageMapping services, geographic data collectionMapping data refinement, quality assurance

While the Afternoon Apple Maps Image Collection focuses on capturing images for Apple Maps during specific hours, the Apple Maps Data Analyst interprets and improves map data through analysis. Both roles support Apple Maps but serve different functions within the mapping ecosystem.

What is an Afternoon Apple Maps Image Collection job?

An Afternoon Apple Maps Image Collection job involves collecting images and data for Apple Maps, typically during the afternoon hours. Workers drive or walk assigned routes using specialized camera equipment to capture up-to-date street-level images. This helps Apple keep its maps accurate and current for users. The role may require following specific routes, adhering to privacy guidelines, and ensuring high-quality image capture. It's ideal for detail-oriented individuals comfortable working independently outdoors.

What are the key skills and qualifications needed to thrive as an Apple Maps Image Collection Specialist, and why are they important?

To thrive as an Apple Maps Image Collection Specialist, you need a valid driver’s license, strong attention to detail, and familiarity with basic mapping or GIS concepts. Proficiency in operating specialized mapping equipment, data collection tools, and GPS navigation systems is typically required. Excellent time management, reliability, and clear communication are important soft skills for handling fieldwork and reporting progress. These abilities ensure accurate data collection, efficient workflow, and the high-quality mapping data essential for Apple Maps users.

What does a typical day look like for someone working in Afternoon Apple Maps Image Collection?

In the Afternoon Apple Maps Image Collection role, your day generally involves operating specialized vehicles or equipment to capture high-quality geographic images during afternoon hours. You'll follow pre-planned routes, ensure equipment is functioning correctly, and document any notable issues or obstacles encountered. Collaboration with remote teams for data uploads and troubleshooting is common, and adaptability is key, as weather and traffic conditions can affect your schedule. This role offers valuable hands-on experience with mapping technology and is a great entry point into geospatial data collection careers.
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Afternoon Apple Maps Image Collection jobs near you
Infographic showing various Afternoon Apple Maps Image Collection job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 53% Full Time, 37% Part Time, 1% Temporary, 1% Contract, and 7% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
3D Computer Vision Research Engineer, Apple Maps

3D Computer Vision Research Engineer, Apple Maps

Apple

Cupertino, CA • On-site

Full-time

Posted 27 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th 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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