Job Details

Manager of Engineering Project Managers, ODML (On-Device Machine Learning) Software

Cupertino, California, United States

Software and Services

Summary

Posted: Jul 03, 2025

Weekly Hours: 40

Role Number: 200611825

At Apple, we work every day to build products that enrich people’s lives. The Graphics, Games, and Machine Learning (GGML) Software EPM team is seeking an experienced manager to lead a team of project managers who are responsible for driving delivery of innovative, high-performance ML developer frameworks and OS features for our users. The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products.

The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations. This infrastructure underpins most of Apple’s critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence.

If you relish responsibility and are excited by the opportunity to lead a team that builds core on-device inference software that delight millions of customers then we want to hear from you - please apply!

Description

As the Manager of this team, you will hire, lead, coach, inspire and nurture a team of Engineering Project Managers that are tasked with building the best in class on-device machine learning inference SW. In this role you will lead and grow an existing team responsible for providing program management support for ML projects enhancing our ML developer APIs and inference runtime software, delivering the high-performance compute foundations for Apple Intelligence, and significantly enhancing the ML-powered experience for Apple customers. You will collaborate with other program management teams across SWE, AIML, SEG, HW teams to improve how we deliver projects in Apple at large.

Minimum Qualifications

• 5+ years of experience in driving large scale program building machine learning powered products

• 2+ years of managing project managers, as well as experience in managing people managers

• Excellent program management skills including program structuring and managing multiple work streams interdependently

Preferred Qualifications

• Strong leadership skills and ability to inspire team members

• Strong ability to communicate abstract ideas clearly, manage comprehensive yet succinct project status update to all levels of audience, both verbally and in written forms

• Self-motivated and proactive, with demonstrated creative and critical thinking capabilities required to forge a path to success

• Experience with leading and improving existing and developing new engineering processes at scale

• Bachelors or Master’s degree in Computer Science, or related field and equivalent experience

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 $176,600 and $313,500, 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.