Senior Software Engineer, Applied Machine Learning

Senior Software Engineer, Applied Machine Learning

Cupertino, California, United States Software and Services

The Applied Sensing & Health team delivers critical Health and Fitness features for Apple Watch, iPhones, and other Apple products. We are seeking a versatile software engineer who can bridge the gap between cutting‑edge ML research and robust production systems. In this pivotal role, you will architect and implement complex C++ systems for sensor data processing, translate advanced ML research into optimized, high‑performance production algorithms, analyze and visualize data to drive profound insights, and maintain sophisticated system software with multi‑threading and real‑time constraints.

Your work will span from low‑level systems programming to ML model implementation to deep data analysis—sometimes building sophisticated algorithms, sometimes crafting the critical infrastructure that makes everything work reliably at Apple's scale. You'll collaborate closely with ML engineers, scientists, and multi‑disciplinary teams across the company, working throughout the entire software lifecycle to deliver best‑in‑class, performant, and reliable systems that impact millions of users daily.

• MS or Ph.D. preferred in Computer Science, Electrical Engineering, or related field, plus 3+ years of software engineering experience with exposure to both systems programming and ML/data analysis domains.
• Strong proficiency in C++ or Objective‑C/Swift development and debugging, with extensive experience in complex, multi‑threaded and concurrent systems, including synchronization and debugging advanced threading issues.
• Working knowledge of Python for ML model development, data analysis, and prototyping.
• Solid understanding of ML pipelines, model implementation, and translating research prototypes into production code.
• Familiarity with modern GenAI‑enabled development workflows and tools (e.g., AI‑assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies.
• Comfort with data analysis and visualization, deriving actionable insights from sensor data.

• A demonstrated passion for health and fitness, driven to empower users to live healthier, more active lives through technology.
• Exceptional collaboration and communication skills, adept at driving cross‑functional initiatives.
• A proactive, inquisitive problem‑solver who thrives on tackling complex challenges and delivering innovative solutions.
• Demonstrated ability to consistently achieve results in dynamic and challenging environments.

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 $147,400 and $272,100, 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.

Apple accepts applications to this posting on an ongoing basis.