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Internship Apple Machine Learning Engineer Jobs (NOW HIRING)

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$181.10K - $272.10K/yr

Sr. Machine Learning Engineer The Answers, Knowledge and Information Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including ...

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

Machine Learning Engineer - MLR Play a part in building the next revolution of machine learning ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

AIML - Machine Learning Engineer, MIND

Seattle, WA · On-site

$139.50K - $258.10K/yr

AIML - Machine Learning Engineer, MIND As a Machine Learning Engineer in the Machine Intelligence ... The team is well positioned for strategic contributions in the short-term (on well-known Apple ...

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Senior Machine Learning Engineer

Seattle, WA · On-site

$181.10K - $318.40K/yr

The people here at Apple don't just create products -- they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

$147.40K - $272.10K/yr

Machine Learning Engineer- GenAI Imagine what you could do here ... At Apple, we believe new insights have a way of becoming excellent products, services, and customer ...

Senior Machine Learning Engineer

Cupertino, CA · On-site

$181.10K - $318.40K/yr

The people here at Apple don't just create products -- they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160K/yr

The people here at Apple don't just create products -- they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

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Internship Apple Machine Learning Engineer information

See salary details

$25.5K

$42.6K

$88K

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

As of May 28, 2026, the average yearly pay for internship apple machine learning engineer in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Apple Machine Learning Engineer vs Software Engineering Intern?

AspectInternship Apple Machine Learning EngineerSoftware Engineering Intern
Required CredentialsRelevant coursework, programming skills, some experience in MLComputer science fundamentals, programming skills, coursework
Work EnvironmentResearch-focused, data-driven projects within AppleSoftware development projects, coding, testing
Employer & Industry UsageApple, technology, AI/ML applicationsVarious tech companies, software development

Both roles involve programming and technical skills, but the Internship Apple Machine Learning Engineer focuses on machine learning projects within Apple, requiring knowledge of ML frameworks. The Software Engineering Intern role is broader, emphasizing general software development. Candidates interested in AI/ML should consider the Machine Learning Engineer internship for specialized experience, while those seeking general software development roles may prefer the Software Engineering Intern position.

More about Internship Apple Machine Learning Engineer jobs
What cities are hiring for Internship Apple Machine Learning Engineer jobs? Cities with the most Internship Apple Machine Learning Engineer job openings:
What are the most commonly searched types of Apple Machine Learning Engineer jobs? The most popular types of Apple Machine Learning Engineer jobs are:
What states have the most Internship Apple Machine Learning Engineer jobs? States with the most job openings for Internship Apple Machine Learning Engineer jobs include:
Infographic showing various Internship Apple Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 48% Full Time, 13% Part Time, 9% Temporary, 22% Contract, and 4% Nights. Highlights an 69% Physical, 17% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer, Apple Search & Knowledge Platforms

Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple

Seattle, WA • On-site

$139.50K - $258.10K/yr

Full-time

Medical, Dental, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


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

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 design and develop features for a platform that touches upon large-scale data management, machine-learning and deep learning systems over graph data and web documents. You will have the outstanding opportunity to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with cross-functional teams to change how hundreds of millions of people use their computers and mobile devices to search and provide users with results that best satisfy their information seeking needs.
Preferred Qualifications
MS degree with 6+ years of industry experience building and scaling ML/AI systems, OR PhD degree with 3+ years of industry experience in production ML environments
Proven track record designing, deploying, and maintaining large-scale distributed ML systems serving millions of QPS (queries per second)
Experience with A/B testing, experimentation frameworks, and data-driven product iteration at scale
Experience designing human-in-the-loop evaluation pipelines and leveraging user feedback to improve model performance
Hands-on experience with LLM deployment, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or other generative AI technologies in production
Experience building model monitoring, observability, and quality assurance systems for production ML services
Experience optimizing ML systems for latency, throughput, and cost at scale
Track record of shipping ML-powered features that measurably improved user experience for consumer-facing products
Strong product intuition and ability to translate business requirements into technical solutions
Minimum Qualifications
MS degree in Computer Science, Machine Learning, or related field with 2+ years of industry experience building production ML/AI systems, OR PhD degree in a related field
Proficiency in mainstream programming languages such as Python, Scala, and Go
Experience building and maintaining large-scale data systems, knowledge graphs, and end-to-end ML pipelines in production, ideally using the Apache software stack (e.g., Spark)
Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow in production environments
Experience with natural language processing, statistical data analysis, and model evaluation methodologies
Demonstrated ability to collaborate with cross-functional teams including product, engineering, and data science
Experience with CI/CD pipelines, model deployment, and monitoring solutions
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 $139,500 and $258,100, 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. 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