Job Details

Job Information

Machine Learning Engineering Manager, Photos
AWM-8056-Machine Learning Engineering Manager, Photos
5/15/2025
5/20/2025
Negotiable
Permanent

Other Information

www.apple.com
Cupertino, CA, 95015, USA
Cupertino
California
United States
95015

Job Description

No Video Available
 

Machine Learning Engineering Manager, Photos

Cupertino, California, United States

Software and Services

Summary

Posted: May 14, 2025

Weekly Hours: 40

Role Number: 200604647

Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Photos Intelligence team in Camera & Photos develops privacy-respecting, Machine Learning (ML) and Artificial Intelligence (AI) technologies to ship Photos features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced, technically sound Machine Learning Engineering Manager to join our team and help drive ML and AI for Apple Intelligence features in Photos.

Description

As a Machine Learning Engineering Manager in Photos Intelligence, you will be leading the team that is responsible for developing ML and AI capabilities that deliver amazing Apple Intelligence features for Photos. Candidates should have a proven track record that demonstrates a strong background in ML and AI, engineering leadership, innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.

Minimum Qualifications

  • Bachelors or Masters or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field

  • Proven track record of building and leading ML and AI teams that have consistently shipped ML / AI models and software that drive user facing features and insights

  • Strong foundations in ML and AI with experience in one or more of the following areas: Deep Neural Networks, Large Language Models in Natural Language Processing, Large Language-Vision Models, Graph Learning, and Information Retrieval

Preferred Qualifications

  • Experience with Machine Learning for embedded systems

  • Passionate about mentoring and helping engineers grow in their careers

  • Always curious, a great collaborator, and communicator

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 $219,300 and $378,700, 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.

Other Details

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