ZipRecruiter

Log In

1

Apple Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

Apple

Machine Learning Engineer, Proactive

Cupertino, CA

$150K - $277K/yr

... machine learning and natural language processing! The features we create are redefining how ... Our universal search engine powers search features across a variety of Apple products, including ...

next page

Showing results 1-20

All JobsApple Machine Learning Jobs

Apple Machine Learning information

See salary details

$13

$22

$31

How much do apple machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for apple machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is an Apple Machine Learning Engineer?

An Apple Machine Learning Engineer is a professional who develops, implements, and optimizes machine learning models and algorithms for Apple’s products and services. They work on projects such as Siri, computer vision, natural language processing, and personalized user experiences across Apple devices. Their role includes collaborating with software engineers, data scientists, and product teams to deliver intelligent features and improve device performance. These engineers use advanced tools and frameworks, such as Core ML and TensorFlow, to deploy scalable solutions that enhance Apple’s ecosystem.

What is the difference between Apple Machine Learning vs Data Scientist?

AspectApple Machine LearningData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech company, R&D labs, product teamsVaried industries, research, consulting, corporate settings
Industry UsageConsumer electronics, software, AI productsBusiness analytics, market research, product development
Common Search/ComparisonYesYes

Apple Machine Learning specialists focus on developing ML models for Apple products and services, often requiring deep technical expertise in ML frameworks. Data Scientists analyze data to extract insights, supporting business decisions across various industries. While both roles involve data analysis and programming, Apple Machine Learning roles are more specialized in AI model development within the tech industry, whereas Data Scientists have broader applications across sectors.

How do Apple Machine Learning engineers typically collaborate with cross-functional teams during product development?

Apple Machine Learning engineers frequently work closely with product managers, software engineers, and designers to integrate machine learning solutions into Apple's hardware and software products. Collaboration often involves regular meetings to align on project goals, sharing model performance metrics, and iterating on data-driven features based on user feedback. This cross-functional teamwork ensures that machine learning models are both technically robust and aligned with Apple's user experience standards. The fast-paced, collaborative environment at Apple encourages engineers to communicate clearly and proactively solve problems with colleagues from diverse backgrounds.

What are the key skills and qualifications needed to thrive as an Apple Machine Learning Engineer, and why are they important?

To thrive as an Apple Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically with a relevant degree and experience in designing and deploying machine learning models. Familiarity with programming languages such as Python or Swift, machine learning frameworks like TensorFlow or PyTorch, and experience using Apple's ML tools such as Core ML are essential. Problem-solving ability, creativity, and strong collaboration and communication skills distinguish top performers in this role. These skills and qualities are crucial for developing innovative, scalable solutions that drive Apple's intelligent product features and user experiences.
More about Apple Machine Learning jobs
What cities are hiring for Apple Machine Learning jobs? Cities with the most Apple Machine Learning job openings:
What states have the most Apple Machine Learning jobs? States with the most job openings for Apple Machine Learning jobs include:
What job categories do people searching Apple Machine Learning jobs look for? The top searched job categories for Apple Machine Learning jobs are:
Apple Machine Learning jobs near you
Infographic showing various Apple Machine Learning job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
AIML - Machine Learning Engineer for MLX, MLR

AIML - Machine Learning Engineer for MLX, MLR

Apple

Cupertino, CA • On-site

Full-time

Posted 7 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

As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group to build scalable, distributed training and research pipelines.
Description
Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon - Is this you? If so we'd love to hear from you.
Minimum Qualifications
2 years in C++ and Python numerical computing
2 years low-level programming
2 years in GPU programming
Experience with open-source projects and collaborative software development.
Experience with Machine Learning algorithms.
Excellent communication skills.
B.S., M.S. or PhD in Computer Science with a strong mathematical background
Preferred Qualifications
3+ years in C++ and Python programming
3+ Expert in GPU programming.
Experience with Swift programming is a plus
Experience and passion to circumvent unexpected roadblocks
Past research experience is a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

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

View All Apple Jobs

Apply