Job Details

Machine Learning Engineer - Health Strategic Initiatives

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: Apr 21, 2025

Role Number: 200600619

Build and implement on-device machine learning solutions designed to encourage positive health behavior change. Our team engineers practical, user-focused ML capabilities for health applications and future wellness features, focusing on robust implementation and performance within device constraints.

As a Machine Learning Engineer, you will drive the engineering lifecycle for these on-device ML features: designing efficient algorithms, implementing them in production code (Swift/Objective-C), integrating models, optimizing for performance, and ensuring robust testing.

Description

Join our team engineering machine learning solutions to promote health behavior change directly on user devices. We focus on building, optimizing, and deploying ML features that offer personalized support, requiring a blend of ML understanding and strong software engineering practices to deliver reliable, efficient, and impactful experiences.

You will tackle the engineering challenges of implementing on-device ML. This involves developing ML solutions with high-quality, performant code, integrating algorithms into larger application frameworks, optimizing for latency and power consumption, and establishing rigorous testing procedures. You'll be responsible for the quality and performance of the ML components you build and deploy.

Key Responsibilities:

• Design, implement, and optimize machine learning algorithms and models specifically for on-device execution.

• Drive the end-to-end development process: from formulating hypotheses and collecting relevant data, through prototyping and on-device integration, to comprehensive testing and quality assurance.

• Integrate, adapt, and optimize machine learning models for efficient on-device inference within health applications.

• Analyze results, iterate on solutions, and ensure the robustness and real-world impact of the algorithms deployed.

• Collaborate closely and effectively in a multi-functional environment with software engineers, designers, domain experts, and other ML teams.

Apply if you are an engineer passionate about building impactful health features using ML, possess strong on-device coding skills (Swift/Objective-C), and excel in a collaborative, execution-driven setting.

This is a site-based role.

Minimum Qualifications

• MSc in Computer Science, or related technical field.

• A minimum of 8 years of relevant industry experience.

• Experience with at least one of Python, Swift or Objective-C.

• Understanding of machine learning principles and common algorithms.

• Proven ability to implement and test algorithms or sophisticated software components.

• Demonstrated experience with the scientific method: formulating hypotheses, crafting experiments, collecting data, and performing rigorous analysis.

Preferred Qualifications

• A minimum of 10 years of relevant industry experience.

• Proven experience implementing, optimizing, and shipping machine learning models on resource-constrained environments (mobile, embedded).

• Deep proficiency with Swift, Objective-C and/or C++ and iOS development frameworks.

• Strong ability to work collaboratively and communicate effectively within a diverse, fast-paced team environment.

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 $264,200, 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.