Applied AI Engineer - Health
Summary
Description
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.
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience
- Ability to leverage AI-assisted tooling to write clean, performant code (e.g. Python), while maintaining full ownership of code quality and software development best practices (e.g. Git).
- Technical expertise and hands-on experience building and evaluating machine learning solutions for user-facing applications.
- Comfort building functional prototypes or proof-of-concept demos to test ideas quickly.
Preferred Qualifications
- MS 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 domains, 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 with experience or strong interest in building consumer digital health and wellness products.
- Experience building and deploying performant on-device or full-stack systems, including rapid prototyping of user-facing experiences (e.g. Swift, SwiftUI), is a plus.
Pay & Benefits
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Required Skills
Required Languages
🇬🇧 English