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Weekend Apple Maps Image Collection Jobs in California

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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Weekend Apple Maps Image Collection information

What are Weekend Apple Maps Image Collection jobs?

Weekend Apple Maps Image Collection jobs involve collecting street-level imagery and location data for Apple Maps, typically by driving a vehicle equipped with specialized cameras and sensors. These roles are often part-time or temporary and scheduled for weekends, making them suitable for those seeking flexible work. Workers help improve the accuracy and coverage of Apple Maps by following predetermined routes and ensuring data is captured according to Apple's guidelines. Attention to detail and a valid driver's license are usually required, and training is provided before starting. The data collected supports the continuous improvement of Apple Maps’ navigation and mapping features.

What is the difference between Weekend Apple Maps Image Collection vs Weekend Google Street View Photographer?

AspectWeekend Apple Maps Image CollectionWeekend Google Street View Photographer
CredentialsMinimal, often requires basic photography skillsSimilar, often requires photography experience and familiarity with camera equipment
Work EnvironmentOutdoor, urban and rural areas during weekendsOutdoor, urban and rural areas during weekends
Employer & IndustryApple, mapping and technology industryGoogle, mapping and technology industry
Search & Comparison IntentComparing weekend mapping collection rolesComparing weekend street view photography roles

The Weekend Apple Maps Image Collection and Weekend Google Street View Photographer roles both involve outdoor photography for mapping purposes during weekends. They share similar credentials, work environments, and industry usage. The main difference lies in the employer and platform focus, with Apple and Google being the respective companies. Both roles are suitable for individuals interested in outdoor photography and mapping projects, with similar skill requirements and work settings.

What are the typical responsibilities and work conditions for someone in a Weekend Apple Maps Image Collection role?

In a Weekend Apple Maps Image Collection role, your main responsibility is to drive a designated vehicle equipped with specialized mapping cameras and sensors to capture street-level imagery. You’ll follow pre-planned routes provided by your supervisor, ensuring the equipment collects accurate and high-quality data. The job often involves working independently and requires attention to detail, time management, and adherence to safety protocols. Weekend schedules are standard, and you may collaborate with a remote team for route updates and technical support. This role can be a great entry point into geospatial technology or mapping careers, offering insight into how large-scale mapping projects are executed.

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

To thrive as a Weekend Apple Maps Image Collection Specialist, you need a valid driver’s license, attention to detail, and basic technical proficiency, typically supported by a high school diploma or equivalent. Familiarity with GPS navigation systems, mobile data collection devices, and proprietary mapping software is commonly required. Reliability, strong communication skills, and the ability to work independently help individuals excel in this role. These skills ensure accurate data collection, timely completion of routes, and high-quality contributions to Apple Maps' mapping accuracy.
What are the most commonly searched types of Apple Maps Image Collection jobs in California? The most popular types of Apple Maps Image Collection jobs in California are:
What are popular job titles related to Weekend Apple Maps Image Collection jobs in California? For Weekend Apple Maps Image Collection jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Apple Maps Image Collection jobs in California look for? The top searched job categories for Weekend Apple Maps Image Collection jobs in California are:
What cities in California are hiring for Weekend Apple Maps Image Collection jobs? Cities in California with the most Weekend Apple Maps Image Collection job openings:
3D Computer Vision Research Engineer, Apple Maps

3D Computer Vision Research Engineer, Apple Maps

Apple

Cupertino, CA • On-site

Full-time

Posted 19 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