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Apple Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

$150K - $277K/yr

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users ... As such, we are seeking candidates with applied machine learning experience and strong software ...

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Description 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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

Description 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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

Description 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 ...

Apple Inc.

$184K - $324K/yr

Senior Machine Learning Engineer, Apple Search & Knowledge Platforms Santa Clara, California, United States Machine Learning and AI The AI, Search & Knowledge Platforms team builds amazing products ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro ... BA/BS degree in computer vision, computer graphics, machine learning or related field. Preferred ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150K - $277K/yr

Description 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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

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Apple Machine Learning information

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How much do apple machine learning jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for apple machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 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.

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Apple Machine Learning jobs near you
Infographic showing various Apple Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer, Apple Search & Knowledge Platforms

Santa Clara, CA

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

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 hours ago

Key responsibilities

  • Build and develop large-scale machine learning components to power question answering for Siri and Knowledge Q&A features.

  • Design and develop features for a platform involving large-scale data management, machine-learning systems over graph data, and knowledge extraction from semi-structured and unstructured data feeds.

  • Work with high performance computing environments to process petabytes of data and support millions of queries per second.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 686 frontline employees who took The Breakroom Quiz

Job description

The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
Description
The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will build state-of-the-art Gen AI components at scale to power question answering for Siri. You will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Preferred Qualifications
PhD or Graduate degree with research/work experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
Experience in Natural Language Processing including RAG based Generative AI and transformer architecture
Minimum Qualifications
Excellent programming skills in mainstream programming languages such as Python, Scala, and Go
Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow
Working experience with NLP and Large Language Models
Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark)
Broad knowledge of computer science and systems; ability to quickly learn new domains
Excellent problem-solving and analytic skills
Good interpersonal skills and teamwork
Passion for building phenomenal products and curiosity to learn
Pay & Benefits
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 $142,300 and $263,300, 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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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