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Internship Apple Machine Learning Engineer Jobs in South Carolina

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Internship Apple Machine Learning Engineer information

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

Machine Learning Engineer - Special Projects

Apple

Fort Mill, SC • On-site

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted yesterday

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

We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
Description
We are a team of best-in-the-world research scientists and engineers building the foundations for autonomous AI systems. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:","responsibilities":"Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
Preferred Qualifications
Bachelors or Masters Degree in Computer Science, Engineering, Math, or Physics from a strong program.
2+ years at a company building AI products or agent systems.
Experience with job orchestration frameworks (Airflow, Prefect, Ray, etc.).
Familiarity with macOS/iOS development ecosystems.
Active personal interest in AI agents-you're already experimenting on your own time.
Minimum Qualifications
5+ years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines, training infrastructure, model serving, or evaluation frameworks.
Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code.
Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines.
Strong quantitative and data skills - comfortable with SQL, statistical reasoning, and translating ambiguous signals into clear, actionable findings.
Proven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production.
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

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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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