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Apple Machine Learning Jobs (NOW HIRING)

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 ...

Apple

Sr. Machine Learning Engineer - Apple News

Cupertino, CA · On-site

$128K - $177K/yr

Apple News is seeking an experienced Machine Learning Engineer to build, operate, and scale the systems that power intelligent features for millions of people every day. In this role, you will bring ...

Apple

Manager, Machine Learning, Apple Store Online

Austin, TX · On-site

$81K - $112K/yr

... Machine Learning Engineering leader. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online ...

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 ...

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Apple Machine Learning information

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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 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 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.
More about Apple Machine Learning jobs
What cities are hiring for Apple Machine Learning jobs? Cities with the most Apple Machine Learning job openings:
What states have the most Apple Machine Learning jobs? States with the most job openings for Apple Machine Learning jobs include:
What job categories do people searching Apple Machine Learning jobs look for? The top searched job categories for Apple Machine Learning jobs are:
Apple Machine Learning jobs near you
Infographic showing various Apple Machine Learning job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Full Stack Software Engineer - ML Compute Capacity

Full Stack Software Engineer - ML Compute Capacity

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 2 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

Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.
Description
As a senior engineer on the ML Compute Capacity team, you will design, build, and operate the production systems that ensure compute resources are optimally distributed throughout the company. You'll work across the stack - from data pipelines and backend services to APIs and interactive frontends - developing telemetry systems, optimization algorithms, policies, and intuitive tools for managing demand and improving efficiency across Apple's largest accelerator fleet. Our small, nimble team works in a high-autonomy, fast-paced environment, and we're passionate about digging into data patterns, laying out the performance characteristics of an entire distributed system, and knowledge sharing. If the opportunity to own and operate services that scale, stay highly available, and "just work" excites you, then please reach out to us!
Minimum Qualifications
5+ years of experience in relevant areas
Proficiency in Python for production backend and data engineering work
Experience building data pipelines and crafting robust queries over large-scale, multi-source data (e.g., Trino, PostgreSQL, Elasticsearch)
Experience designing and building RESTful APIs and working with cloud storage technologies
Experience with modern web frameworks like React
Experience with observability tools (e.g., Prometheus, Grafana) or equivalent monitoring systems
Excellent problem-framing and problem-solving skills
Strong CS fundamentals
Bachelor's degree or higher in Engineering, Mathematics, Economics, or a related quantitative field
Preferred Qualifications
Experience operating Kubernetes at production scale - including scheduling, resource management, and cluster debugging
Familiarity with accelerator utilization patterns across ML training and inference
Strong interest with capacity planning, cost attribution, or FinOps systems

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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