Applied AI Engineer - Health

Apple’s Health Personalization team develops AI-driven health and wellbeing experiences. The Applied AI Engineer will prototype, evaluate, and ship generative AI features, build methods to measure model quality, and improve customer-facing products across the full machine learning lifecycle.

Responsibilities:

• Develop and improve generative AI systems for health and wellbeing applications across the full feature development lifecycle — prototyping on-device experiences to explore design directions, and shipping production-quality features
• 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 — to measure and improve model quality
• Analyze algorithm and feature behavior, identify failure modes, and drive actionable improvements through experimentation and failure analysis — verifying that fixes hold with data
• Work cross-functionally with many teams — including clinical experts, designers, and HW and SW teams, and more — to bring features into production with real-world applicability and impact