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Apple Machine Learning Engineer Jobs in California

Apple

Machine Learning Engineer

Sunnyvale, CA

$147.40K - $272.10K/yr

Machine Learning Engineer Do you love taking on big challenges that require exceptionally creative ... other Apple products. As part of our machine learning team, you will play a vital role in ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

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

Machine Learning Engineer

San Francisco, CA

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.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

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

Machine Learning Engineer

Cupertino, CA

$212K - $318.40K/yr

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 ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

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

Machine Learning Engineer

Sunnyvale, CA

$147.40K - $272.10K/yr

... 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

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$147.40K - $220.90K/yr

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

Machine Learning Engineer

Cupertino, CA

$181.10K - $272.10K/yr

Machine Learning Engineer Imagine what you could do here ... At Apple, great ideas have a way of becoming great products, services, and customer experiences ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... 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 ...

Apple

Machine Learning Engineer

Cupertino, CA

$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

Machine Learning Engineer

Cupertino, CA · On-site

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

Machine Learning Engineer

San Diego, CA · On-site

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

Machine Learning Engineer

San Diego, CA

Role Number: 200655299-3543 Summary Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users ...

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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 Jun 1, 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 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.

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
Machine Learning Engineer

Machine Learning Engineer

Apple

Sunnyvale, CA

$147.40K - $272.10K/yr

Other

Medical, Dental, Retirement

Posted 7 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

Machine Learning Engineer

Do you love taking on big challenges that require exceptionally creative solutions? 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, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.

Description

In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.

Responsibilities
  • Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products.
  • Work closely with cross functional teams to build computational imaging and machine learning prototypes for future Apple products that enable novel photography experiences.
  • Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors.
  • Ground the exploration via validated simulation and metrology results to avoid machine learning domain gaps and ensure production feasibility.
Minimum Qualifications
  • BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience
  • Experience with software coding in Python.
  • Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.
  • Experience with Pytorch.
Preferred Qualifications
  • MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
  • Experience or strong personal curiosity with designing imaging and sensing systems.
  • Strong independent problem-solving and communication skills.
  • Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.
  • Experience with cutting edge computer vision and machine learning research trends and models.
  • Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, 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 for 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.

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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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