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Apple Machine Learning Engineer Jobs in California

Apple Inc.

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$147.40 - $220.90/hr

  • Medical

  • Dental

  • Retirement

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

Sr. Machine Learning Engineer

Santa Clara, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

  • Medical

  • Dental

  • Retirement

Apple is where individual imaginations gather together, committing to the values that lead to great ... Description We are seeking an experienced Machine Learning Research Engineer to design and apply ...

Apple Inc.

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

  • Medical

  • Dental

  • Retirement

At Apple, we believe new insights have a way of becoming excellent products, services, and customer ... engineer to join our team. You will help design and implement our machine learning strategy to the ...

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139.50 - $258.10/hr

  • Medical

  • Dental

  • Retirement

At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. We are seeking a passionate and innovative machine learning engineer to join a ...

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All JobsApple Machine Learning Engineer JobsApple Machine Learning Engineer Jobs in California

Apple Machine Learning Engineer information

See California salary details

$31.1K

$127.1K

$191K

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

As of Aug 18, 2026, the average yearly pay for apple machine learning engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

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 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 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.

Is a machine learning engineer a high paying job?

Machine learning engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but they are generally above average compared to many other tech roles.

What are the most commonly searched types of Apple Machine Learning Engineer jobs in California?

The most popular types of Apple Machine Learning Engineer jobs in California are:

What are popular job titles related to Apple Machine Learning Engineer jobs in California?

For Apple Machine Learning Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Apple Machine Learning Engineer jobs in California look for?

The top searched job categories for Apple Machine Learning Engineer jobs in California are:

What cities in California are hiring for Apple Machine Learning Engineer jobs?

Cities in California with the most Apple Machine Learning Engineer job openings:

Apple Machine Learning Engineer jobs near you
Infographic showing various Apple Machine Learning Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.

Machine Learning Engineer (Search)

Apple Inc.

Cupertino, CA • On-site

$147.40 - $220.90/hr

Other

Medical, Dental, Retirement

Re-posted 29 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Location: Cupertino, California, United States.

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.

Minimum Qualifications
  • MS in computer science or equivalent field with 2+ years of industry experience
  • Proven record in delivering end-user facing Machine Learning driven products
  • Strong programming experience in one or more of the following: Java, C++, Python
  • Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.
  • Excellent interpersonal and communication skills - working independently and/or in small teams
  • Attention to detail, data accuracy and quality of output.
Preferred Qualifications
  • Ph.D in computer science or equivalent field with 2+ years of industry experience.
  • Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking
  • Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
  • Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.

Base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and on formal education related to advancing your career at Apple reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Equal Opportunity & Diversity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Accessibility

Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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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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