Health Algorithms Validation & Verification Engineer
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.
Preferred Qualifications
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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
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.
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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