The Health AI team at Apple is seeking a senior engineer to tackle real-world health problems using machine learning and generative AI. This close-knit group of research scientists and engineers is dedicated to creating innovative technologies that positively impact users' lives. The role requires a strong background in software engineering and machine learning, with a focus on developing state-of-the-art models and systems. The ideal candidate will excel in cross-functional collaboration and possess a passion for building outstanding products.

• 10+ years of overall software development experience.
• Experience leading a team and proven track record of cross-functional collaboration.
• BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields.
• Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
• 5+ years of hands-on experience in state-of-the-art machine learning and deep learning.
• Proficiency in developing and working with large-scale models using modern machine learning packages.
• Experience with healthcare data, products, and workflows.

• Design, implement, tune, and evaluate machine learning models and systems.
• Solve ambitious problems involving unique data and high-impact products.
• Rapidly apply engineering best practices and novel research techniques.
• Build and troubleshoot modern agentic systems.
• Contribute to diverse teams in a collaborative environment.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.