Job Details

Multimodal Generative Modeling Research Engineer - SIML, ISE

Seattle, Washington, United States

Machine Learning and AI

Summary

Posted: Apr 08, 2025

Weekly Hours: 40

Role Number: 200594275

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!

We are looking for an experienced research engineer in architecting and deploying production scale multimodal ML systems. An ideal candidate has the ability to work with diverse cross functional efforts including prototyping, ML modeling, and integration into production workflows. Solid ML fundamentals, experience with applied research, and hands-on knowledge training and adapting image/video/audio/multimodal Generative AI models would be essential for this role.

SELECTED REFERENCES TO OUR TEAM’S WORK:
- https://machinelearning.apple.com/research/introducing-apple-foundation-models
- https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon

Description

We are looking for a new team member with a proven track record of leading applied ML research. Responsibilities in this role will include creating multimodal Generative AI models that can deliver high quality, and enable new capabilities in support of production focussed user experiences. You will do this through distributed training of large scale models involving image/video/audio and research optimizations for deploying efficient models on device. Ensuring high quality in real world use, mitigating bias and preserving privacy are all core tenets. You will be interacting closely and cross-functionally with other ML researchers, software engineers, hardware & design teams.

Minimum Qualifications

• M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.

• Hands on experience training or adapting image / video / audio generation models (eg: SDXL, Flux, etc) for downstream tasks

• Proficiency in ML frameworks e.g., PyTorch, Tensorflow

• Strong programming skills in Python / other high level languages

Preferred Qualifications

• Familiarity with distributed training

• Strong programming skills in C/C++/ObjC

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.