Machine Learning Engineer

Machine Learning Engineer

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.

This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.

Responsibilities

• Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization
• Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development
• Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements
• Optimize algorithms for robustness, efficiency, and on-device deployment constraints
• Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product
• Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements

Minimum Qualifications

• Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.
• Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems
• Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation
• Proficiency in Python for algorithm development and optimization
• Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results
• Experience owning algorithm development from early exploration through validation and integration

Preferred Qualifications

• Experience developing algorithms for physiological sensing using multi-modal data
• Familiarity with on-device ML frameworks or resource-constrained optimization
• Experience working with incomplete, noisy, or limited datasets
• Background in experimental design and statistical validation
• Experience with distributed or cloud-based ML workflows
• Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches
• Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions

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 $142,300 and $263,300, 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 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants