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Apple Maps Driving Jobs (NOW HIRING)

Valid driver's license with an insurable driving record. * Ability to understand mapping and routing software (Waze, Google Maps, Apple Maps, etc.). * Must have and regularly use a smartphone for ...

Valid driver's license with an insurable driving record. * Ability to understand mapping and routing software (Waze, Google Maps, Apple Maps, etc.). * Must have and regularly use a smartphone for ...

Valid driver's license with an insurable driving record. * Ability to understand mapping and routing software (Waze, Google Maps, Apple Maps, etc.). * Must have and regularly use a smartphone for ...

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Apple Maps Driving information

What is an Apple Maps Driving job?

An Apple Maps Driving job involves driving a vehicle equipped with specialized mapping equipment to collect data for Apple Maps. Drivers follow predetermined routes to capture street-level imagery, GPS coordinates, and other location-based information. This data helps improve map accuracy, navigation, and various Apple Maps features. The role typically requires a valid driver's license, a clean driving record, and the ability to work independently.

How much do Apple Maps drivers get paid?

Apple Maps drivers, who contribute to map data collection and updates, typically earn around $15 to $20 per hour, depending on location and experience. The role often involves using specialized tools and working flexible hours to gather geographic information.

How to become an Apple Maps car driver?

To become an Apple Maps car driver, candidates typically need a valid driver's license, a clean driving record, and a reliable vehicle that meets Apple's requirements. Prior experience in driving or mapping is beneficial, and drivers often undergo background checks and training on data collection procedures. The role involves operating a vehicle equipped with mapping technology to capture geographic data for Apple Maps updates.

What are the key skills and qualifications needed to thrive in the Apple Maps Driving position, and why are they important?

To thrive as an Apple Maps Driver, you need a valid driver's license, excellent driving skills, knowledge of local geography, and attention to detail. Familiarity with GPS technology, digital mapping tools, and smartphones/tablets is also essential for data collection and route optimization. Strong time management, problem-solving abilities, and the capacity to work independently are valuable soft skills for the position. These skills ensure accurate, reliable mapping data that contributes to a better user experience for Apple Maps customers.

How much does Apple Maps pay for a pedestrian operator?

Apple Maps pedestrian operators typically earn an hourly wage comparable to similar field data collection roles, often ranging from $15 to $25 per hour. Compensation may vary based on location, experience, and specific job requirements, which often include using mobile devices and GPS tools for data collection tasks.

What does a typical day look like for someone in an Apple Maps Driving position?

A typical day for an Apple Maps Driver involves following pre-planned routes to capture high-quality mapping data using specialized equipment provided by Apple. You’ll spend most of your time on the road in various neighborhoods and may be responsible for maintaining the mapping hardware, logging progress, and troubleshooting minor technical issues. The role is largely independent, though drivers regularly communicate with supervisors and technical teams for updates or support. Expect tasks to vary by region and occasional adjustments due to weather or local traffic conditions. This position is well-suited for individuals who enjoy autonomy, technology, and exploring new areas while contributing to an improved mapping experience for millions of users.

How difficult is it to get hired at Apple?

Getting hired for a role related to Apple Maps driving or similar positions at Apple typically requires a strong background in navigation, mapping technologies, or related fields, along with relevant experience and skills. The hiring process is competitive and involves multiple interview stages, including technical assessments and behavioral interviews, often emphasizing problem-solving and technical proficiency.
More about Apple Maps Driving jobs
What cities are hiring for Apple Maps Driving jobs? Cities with the most Apple Maps Driving job openings:
What are the most commonly searched types of Apple Maps Driving jobs? The most popular types of Apple Maps Driving jobs are:
What states have the most Apple Maps Driving jobs? States with the most job openings for Apple Maps Driving jobs include:
Infographic showing various Apple Maps Driving job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
Engineering Program Manager, AI and Data Platform, Apple Services Engineering

Engineering Program Manager, AI and Data Platform, Apple Services Engineering

Apple

Cupertino, CA • On-site

Full-time

Posted 13 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 673 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Are you ready to take a pivotal role in shaping Apple's next-generation products by driving the adoption of machine learning and equipping engineering teams with robust data insights? Join the Apple Cloud AI Platform EPM team as a Senior Program Manager, focusing on Machine Learning Infrastructure and data platform products. You'll play a critical role in shaping and scaling the platform that powers AI application development across Apple.
The Apple Cloud AI Platform team powers GenAI, ML, data analytics, and exploration platforms that fuel the App Store, Music, Search, Maps, iCloud and many other beloved products in the Apple ecosystem. Our mission is to provide ML engineers and data scientists with an innovative, reliable, secure, and user-friendly platform for ingesting, storing, processing, and interacting with data, ultimately helping teams derive insights that drive product success.
Description
In this role, you'll oversee a platform responsible for secure data ingestion, storage, management, feature engineering, real-time and batch processing, data transformation, and analytics, among other critical functions. This infrastructure enables Apple's engineering teams to manage the ML lifecycle effectively, supporting model training and enhancing product quality to deliver a seamless, privacy-centric experience to Apple customers. You'll collaborate extensively with cross-functional partners within and beyond the AI/ML landscape, defining and delivering impactful ML and data platform products that meet Apple's organizational needs. With a deep understanding of user needs, you'll own complex challenges, exploring all facets of business opportunities, and connecting insights across roles and functions to drive innovative solutions.
Minimum Qualifications
Program management in ML Infrastructure: 7+ years of experience leading large cross-functional infrastructure programs, with 2+ years leading ML, AI, and data programs.
Proven Delivery of Large-Scale Solutions: Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products, including data storage, feature store, data management, data versioning, privacy, governance, analytics, and backend services that support high-throughput, user-facing applications.
Technical Expertise in Cloud and Hybrid Platforms: Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure and data platforms.
BS in Computer Science, Computer Engineering, or related technical field OR relevant industry experience
Preferred Qualifications
User-Centric Program Strategy: Passionate about optimizing the user experience, providing thought leadership to enhance end-to-end user interactions for technical products.
Technical Proficiency in ML and Data Tools: Familiarity with ML infrastructure, Agentic AI skills, frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python, and other advanced analytical tools is a significant asset.
Familiarity with Distributed Cloud ML Systems: Familiarity with distributed systems and large-scale compute environments. Background working closely with applied Data & ML infra teams. Experience with developer platforms, APIs, or infrastructure products.

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Benefits

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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