Role overview
The Health Personalization team builds outstanding technologies to support AI-driven health experiences that provide our users with understandable, actionable information about their health and wellbeing, and support them to achieve their health and wellness goals. As part of the larger Sensor Software & Prototyping team, we take a multimodal approach using a variety of sensors and user data signals across hardware platforms, such as camera, wearables, and natural language user input. We are committed to building deeply personal features that understand, anticipate, and adapt to users’ behaviors and uphold Apple’s deep commitment to privacy as a fundamental human right. Our team values expertise, innovation, and inclusivity. Come join us!
What you'll work on
Independently design, run, and analyze ML experiments to deliver measurable quality improvements.
Design and implement evaluation frameworks-including automated assessment tools, LLM-based autograders, and benchmarks-with rigorous validation of their reliability and validity.
Apply statistical and interpretability methods to analyze evaluation data and model behavior, identify failure modes through adversarial testing and failure analysis, and drive actionable improvements.
Build and maintain scalable, reusable pipelines for inference, training, and evaluation, integrated with large-scale data workflows.
Work cross-functionally with engineers, clinical experts, designers, and hardware and software teams to bring features into production with real-world applicability and impact.
What we're looking for
BS and a minimum of 3 years relevant industry experience
Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices.
Technical expertise and hands-on experience crafting and evaluating machine learning solutions for user-facing applications.
Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection / evaluation (e.g. user studies, annotation workflows, A/B tests).
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 .