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Internship Apple Machine Learning Engineer Jobs (NOW HIRING)

Apple

Machine Learning Engineer - Health AIML

Cambridge, MA · On-site

$216K - $394K/yr

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 ...

Apple

Machine Learning Engineer - Health AIML

Cambridge, MA · On-site

$216K - $394K/yr

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 ...

Apple Inc.

$185 - $325/hr

Description Apple Maps Client is looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and ...

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139.50 - $258.10/hr

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 ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$184K - $324K/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

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$25.5K

$42.6K

$88K

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

As of Sep 7, 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.

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Internship Apple Machine Learning Engineer jobs near you
Infographic showing various Internship Apple Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 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 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.
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
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

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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