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Apple Machine Learning Jobs in California (NOW HIRING)

Apple

Machine Learning Engineer

Cupertino, CA

$150K - $225K/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

Machine Learning Engineer

San Diego, CA

$142K - $263K/yr

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

On-Device Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

We balance research and product requirements to deliver Apple quality, pioneering experiences ... Experience with machine learning model development lifecycle, including data preprocessing, model ...

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Apple Machine Learning information

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$13

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How much do apple machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for apple machine learning in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 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.
What are popular job titles related to Apple Machine Learning jobs in California? For Apple Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Apple Machine Learning jobs in California look for? The top searched job categories for Apple Machine Learning jobs in California are:
What cities in California are hiring for Apple Machine Learning jobs? Cities in California with the most Apple Machine Learning job openings:
Apple Machine Learning jobs near you
Infographic showing various Apple Machine Learning job openings in California as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.
Machine Learning Video Processing Engineer

Machine Learning Video Processing Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted 28 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

Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you'll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation.
Description
We are seeking a Machine Learning Engineer to help develop Apple's next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products.
Responsibilities include, but not limited to:
- Develop, implement, and optimize machine learning based video processing algorithms
- Contribute to data collection, curation, analysis and processing for algorithm training and evaluation
- Research and evaluate state-of-the-art learning-based methods for low-level vision tasks
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Hands on experience on image/video processing, machine learning and computer vision
Programming skills in Python, Java, or C/C++
Preferred Qualifications
PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis
Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)
Excellent written and oral communication skills

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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