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Apple Machine Learning Engineer Jobs (NOW HIRING)

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

The people here at Apple don't just create products - they build the kind of wonder that ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

... other Apple products. As part of our machine learning team, you will play a vital role in ... Preferred Qualifications MS/PhD in computer vision, electrical, optical or computer engineering or ...

Apple Maps and the thousands of applications it empowers are being used by millions every single ... We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ...

Apple Maps and the thousands of applications it empowers are being used by millions every single ... We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ...

... other Apple products. As part of our machine learning team, you will play a vital role in ... MS/PhD in computer vision, electrical, optical or computer engineering or related fields.Experience ...

Machine Learning Engineer

Cupertino, CA · On-site

$181.10K - $272.10K/yr

At Apple, great ideas have a way of becoming great products, services, and customer experiences ... As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

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Apple Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do apple machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for apple machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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 strong background in computer science, mathematics, and statistics, typically with experience in machine learning algorithms and a relevant degree. Expertise in programming languages such as Python or Swift, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of Apple's Core ML are commonly required. Strong problem-solving abilities, creativity, and effective communication help you collaborate across teams and translate complex ideas. These skills ensure innovative, scalable, and user-centric machine learning solutions that align with Apple's high standards.

What collaboration opportunities can an Apple Machine Learning Engineer expect when working on cross-functional projects?

As an Apple Machine Learning Engineer, you will frequently collaborate with cross-functional teams including software engineers, product managers, and user experience designers. This collaboration is essential for integrating machine learning solutions seamlessly into Apple’s products and services. You can expect to participate in regular meetings to align on project goals, share technical insights, and troubleshoot challenges together. Such teamwork not only enhances product quality but also offers valuable opportunities for professional growth and skill development within Apple’s innovative environment.

What does an Apple Machine Learning Engineer do?

An Apple Machine Learning Engineer designs, develops, and implements machine learning models and algorithms that power Apple's products and services. They work with large datasets, collaborate with software and hardware teams, and contribute to features such as Siri, image recognition, and personalized recommendations. Their role involves researching new techniques, optimizing models for performance and efficiency, and ensuring privacy and security standards are maintained.

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

AspectApple Machine Learning EngineerApple Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, deploying on Apple devicesAnalyzing data, building insights, supporting product decisions
Employer & Industry UsageTech industry, Apple-specific projects, hardware/software integrationTech industry, product analytics, user behavior insights

Apple Machine Learning Engineers focus on developing and deploying ML models within Apple's ecosystem, while Apple Data Scientists analyze data to inform product decisions. Both roles require strong technical skills, but ML Engineers are more involved in model creation and deployment, whereas Data Scientists focus on data analysis and insights.

More about Apple Machine Learning Engineer jobs
What cities are hiring for Apple Machine Learning Engineer jobs? Cities with the most Apple Machine Learning Engineer job openings:
What are the most commonly searched types of Apple Machine Learning Engineer jobs? The most popular types of Apple Machine Learning Engineer jobs are:
What states have the most Apple Machine Learning Engineer jobs? States with the most job openings for Apple Machine Learning Engineer jobs include:
Machine Learning Engineer

Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 5 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro's Eyesight and Persona. In this position, you will have the opportunity to be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. You will be actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. You will perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and cross-functionally.
3+ years of experience working on ML projects for computer vision / graphics applications.Software engineering skills and proficiency in Python.Experience with PyTorch.BA/BS degree in computer vision, computer graphics, machine learning or related field.
MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.Self-motivated with proven ability to effectively prioritize and deliver tasks on schedule.Excellent communication and experience working with cross-functional teams.

What Apple employees say

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Benefits

Hours and flexibility

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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