ZipRecruiter

Log In

1

Apple Machine Learning Jobs in California (NOW HIRING)

Apple Inc.

Machine Learning Engineer, SIML

Cupertino, CA · On-site

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Apple

Machine Learning Video Engineer

Cupertino, CA · On-site

$150K - $277K/yr

The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing ...

Apple

Machine Learning Engineer

Cupertino, CA

$150K - $225K/yr

At Apple, individual creativity converges around shared values that drive innovation. Our products ... The Machine Learning Engineer consists of leveraging novel display technologies to build experience ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA · On-site

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

previous page

Showing results 41-60

All JobsApple Machine Learning JobsApple Machine Learning Jobs in California

Apple Machine Learning information

See California salary details

$13

$22

$30

How much do apple machine learning jobs pay per hour?

As of Sep 15, 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 are the key skills and qualifications needed to thrive as an Apple machine learning engineer?

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.

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 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.

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:

Infographic showing various Apple Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.

Machine Learning Video Processing Engineer

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted yesterday

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 686 frontline employees who took The Breakroom Quiz

Job description

Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! This group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer.
Description
In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies. Your responsibilities include but not limited to:
- Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments.
- Work on data collection and pre-processing for training/testing/validation.
- Investigate the latest learning-based low-level vision technologies and tasks.
Minimum Qualifications
Masters degree in Computer Science, Electrical Engineering, or related major.
Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System.
Python, Java, or C/C++ programming skills.
Preferred Qualifications
Experience with performance (power and speed) optimization: GPGPU SIMD programming.
Knowledge of deploying neural network to hardware.
Experience with multithread NEON / SIMD.
Experience with GPU APIs preferably Metal, CUDA, OpenGL, and/or OpenCL.
Excellent written and oral communication skills.

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