Health Algorithms Validation & Verification Engineer

Health Algorithms Validation & Verification Engineer

San Diego, California, United States Software and Services

The Applied Sensing & Health team has built innovative ways for users to improve their health, watch for their lives, and get personalized insights from their daily patterns through multimodal sensing and AI models. This team combines advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights spanning health, fitness, and safety. This has enabled us to deliver meaningful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and our latest advances to bring our suite of Fitness metrics to AirPods Pro 3, delivering 50 workout types in a single year. We are a dynamic, collaborative group that works at the intersection of scientific research and product development. We develop science‑backed designs of best‑in‑class AI/ML models that capture the multifactorial nature of human health and behavior, delivering insights straight to our customers. We promote innovation and new technology to further improve our creative output. We are seeking a tenacious and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.

Description

In this role, you will be highly involved in driving design data quality and algorithm performance to develop our next generation of Health and Fitness features. This includes evaluating large user study datasets, design reviews, algorithm testing, bug reporting and triaging.

Responsibilities

• Challenge the design and implementation of the algorithm
• Design and perform analytics for algorithm verification and validation
• Create automated monitoring and quality assurance metrics to constantly track feature performance
• Profile, process, and evaluate large structured and unstructured datasets
• Participate and present in user study review, code review, and data review
• Perform comprehensive assessments of AI model outputs to identify areas of enhancement and facilitate algorithm improvements
• Communicate with upstream (e.g. hardware) and downstream (e.g. app) stakeholders to drive end-to-end user experience of the feature.

Minimum Qualifications

• BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent
• Background in one or more of the following domains: time-series analysis, signal processing, sensor fusion, AI models, statistics, health & fitness,
• Proficient at coding in Python and/or Matlab
• Proficient at data analysis, data visualization, and reporting
• Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis.

Preferred Qualifications

• Familiarity building data pipelines for large-scale data processing
• Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, indices, familiarity with AWS services/API such as S3 is a plus
• Familiarity testing hardware and/or testing software (including designing, implementing and executing test plans) is a plus
• Detail-oriented, able to find bugs, investigate & debug issues, and drive solutions to difficult problems
• Excellent analytical and problem solving skills, self-motivated, laser-focused, and solution-oriented

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 $139,500 and $258,100, 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 .