Applied AI Engineer - Health

Apple • Cupertino, CA

9d

About The Position

The Health Personalization team builds AI-driven health experiences that provide users with understandable, actionable information about their health and wellbeing. The team uses large language models and machine learning advances to develop useful, personal, privacy-preserving, and safe products, turning research and incubation into features people rely on every day. As part of the Sensor Software & Prototyping team, it works across hardware platforms and data modalities, including wearables and natural language input, and is committed to privacy and inclusive collaboration.

In this role, you will prototype, develop, evaluate, and ship Generative AI experiences for real-world health and wellbeing applications. You will apply strong machine learning fundamentals, build practical evaluation methods, and ground your work in real on-device user interactions. Your work will shape customer-facing health products across the full machine learning lifecycle. The role calls for making progress through ambiguity by building, learning from real data, and iterating; taking ownership of outcomes end-to-end; prioritizing well; and learning quickly.

Requirements

• Bachelor of Science degree and at least 3 years of relevant industry experience.
• Ability to use AI-assisted tooling to write clean, performant code, such as Python, while maintaining ownership of code quality and software development best practices, such as Git.
• Hands-on technical expertise building and evaluating machine learning solutions for user-facing applications.
• Comfort building functional prototypes or proof-of-concept demos to test ideas quickly.

Nice To Haves

• Master’s or PhD in computer science, machine learning, health informatics, biomedical engineering, or a related quantitative field, or equivalent industry experience.
• Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders.
• Technical expertise in generative AI, such as large language model architectures, knowledge retrieval, and natural language understanding.
• Deep expertise with LLM-based evaluation systems and evidence-based approaches to test development and quality measurement.
• Customer-focused mindset and experience or strong interest in consumer digital health and wellness products.
• Experience building and deploying performant on-device or full-stack systems, including rapid prototyping of user-facing experiences such as Swift or SwiftUI.

Responsibilities

• Prototype, develop, evaluate, and ship Generative AI experiences for health and wellbeing applications.
• Apply machine learning fundamentals and build practical evaluation methods.
• Ground development and evaluation in real on-device user interactions.
• Contribute across the full machine learning lifecycle to customer-facing health products.
• Build, learn from real data, and iterate to make progress amid ambiguity.
• Take end-to-end ownership of outcomes and prioritize work effectively.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level