Job Details

Machine Learning Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Sep 25, 2025

Weekly Hours: 40

Role Number: 200620004-0836

The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with dedication to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and multi-functional, offering greater exposure to the array of opportunities here. We are seeking an extraordinary Machine Learning Engineer to join our team, innovate and craft the foundation of ML engineering to make our ML solutions secure, private, performant and scalable. Our team is geographically diverse. We’re looking for someone whose “people skills” complement their technical skills, someone who loves improving things as much as building things, and someone who is passionate about discovering new ways to accelerate the rate at which we can improve our products. If this sounds like you, join our team!

Description

You will research and develop innovative ML solutions for challenging problems that will impact Apple Media Products. Whether it’s solving a problem for a specific product, or research and develop tools that can change how we do MLOps generally, you have the opportunity to work on a variety and unique set of problems by demonstrating innovative ML technologies. From unsupervised learning techniques to supervised and genAI/LLM. You have the opportunity to dive into those spaces and explore how we can make our products better. Partnership matters— You are a strong technology leader, you will collaborate with broader teams across Apple and influence on our design decisions by contributing to design discussions, and are able to both give and receive constructive feedback. You will also have opportunities to provide technical mentorship and guidance to help shape and grow the team. Quality is important — you will be working in a highly collaborative environment that strives to make our products better, participating and influencing on how we do ML engineering here to improve quality of our products. From design discussions, code reviews, writing code that is robust, reusable, testable and maintainable, all the way to make sure our products are performant and scalable.

Minimum Qualifications

• 5 - 7+ years of ML-related engineering experience

• Expert in Java/Scala or Python, proficient in other languages is a plus

• Experience in implementing Machine Learning based applications or genAI/LLM applications

• Experience with developing large-scale ML infrastructure, such as services, frameworks or tooling

• Solid understanding of Machine Learning algorithms, models and experience with deep learning and genAI/LLM frameworks is desired

• Proficiency in Spark or other equivalent big data processing technologies

• Strong design skills, coupled with a proven understanding of data structures and algorithms

• Excellent communication skills for requirement gathering and clarification

• Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion

• BS/MS in Machine Learning, Computer Science, Computer Engineering, or equivalent experience.

Preferred Qualifications

• PhD in Machine Learning, Computer Science, Computer Engineering

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 $181,100 and $272,100, 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. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.