Job Details

Machine Learning Engineer, Large Visual Generative Model Optimization

Seattle, Washington, United States

Software and Services

Summary

Posted: May 29, 2025

Role Number: 200606808

The System Intelligence and Machine Learning (SIML) organization at Apple is Looking for visual generative modeling ML engineers to build the next generation of experiences and capabilities in Apple Intelligence. This is an opportunity to join a dedicated core group focusing on the foundational image generation technologies behind Image Playground, Genmoji, Image Wand and Photos Clean Up experiences that shipped as part of Apple Intelligence. We transform the way billions of users express themselves, create and communicate, on Apple platforms! In this role your focus will be on handling the model lifecycle of large visual generative models to enhance both the performance and quality. You will work in a highly multi-functional setting, providing technical leadership, and be responsible for delivering ML solutions.

Selected references to our team’s work:
https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/
https://support.apple.com/guide/iphone/create-genmoji-with-apple-intelligence-iph4e76f5667/ios https://support.apple.com/guide/iphone/create-original-images-with-image-playground-iph0063238b5/ios

Description

We are looking a Machine Learning System Engineers who has a proven background at the intersection of ML optimization and ML model deployment. This would be in service of visual content generation initiatives that form an integral part of Apple Intelligence.

Your primary responsibilities will include:

Designing, implementing, and deploying innovative conditional visual generative models

Overseeing software workflows and test protocols for assembling and deploying visual generative models

Performing R&D in emerging areas of efficient neural network development including quantization, pruning, compression algorithms with a focus on visual generation models.

Handle various components in the model lifecycle of such large visual model, range from training, optimization, deployment, validation, and evaluation.

Effectively communicating results and insights in a highly multi-functional team

Minimum Qualifications

• Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience

• Excellent written and verbal communications skills, and have the ability to work hands-on in multi-functional teams

• Strong programming skills in Python or C++ Proficiency in toolkits like PyTorch or other deep learning frameworks

• Hands on experience training or leveraging larges scale visual generative models (e.g. diffusion models) for real-world user experience and computer vision applications

Preferred Qualifications

• Strong background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful industry experience. Proven leadership in both applied research and development

• Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models

• Experience with hardware architecture, software & hardware co-design

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 $135,400 and $250,600, 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.