Job Details

Senior Applied Scientist - SIML, ISE

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: May 05, 2025

Weekly Hours: 40

Role Number: 200603161

The System Intelligence and Machine Learning (SIML) organization at Apple is searching for a senior multimodal Generative model expert to help shape how devices of the future perceive, understand, and anticipate human interactions. You will invent and develop techniques for modeling natural human interactions with objects, devices, and humans. This is an opportunity to join an applied research team with a proven track record in advanced human sensing and generative AI that has been at the forefront of developing novel Apple Intelligence features.

Description

We are looking for a research engineer with strong ML and Generative modeling skills who can define project goals, work with cross-functional partners, learn quickly, and implement and demonstrate new user experiences using large Foundation models. You will build novel and innovative technology, forge collaborations, and influence multi-functional partners, and adapt and iterate your solutions in a dynamic environment.

You will be expected to advance human interaction modeling across various fronts, at a system level, and at a core ML algorithm level. Some of the myriad challenges include perceiving subtle cues in gaze, affect, or prosody, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, generating semantically rich internal representations to enable open-ended downstream tasks, etc. You will be responsible for delivering solutions that can readily be adopted in production pipelines, such as APIs for production-ready ML models or algorithms well integrated into training infrastructure.

Minimum Qualifications

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

• 5+ years of experience building and deploying large ML models

• Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning.

• Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles.

• Strong organizational skills and experience working with large cross-functional and diverse teams.

Preferred Qualifications

• Experience with multimodal large language models (LLMs).

• Proven track record of deploying innovative ML technologies in production.

• Familiarity with developing ML for resource-constrained devices.

• Publications in peer-reviewed venues in relevant areas.

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 $175,800 and $312,200, 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.