JobsMachine Learning Engineer - Health AIML
Job description
The Health AI team at Apple is seeking a senior engineer to contribute to innovative technologies in the health domain. This close-knit team comprises accomplished research scientists, software engineers, and machine learning engineers dedicated to making a difference in users' lives. The role focuses on solving real-world problems using machine learning, deep learning, and generative AI. The successful candidate will work on high-impact products and collaborate cross-functionally to apply engineering best practices.
Requirements
- 7+ years of professional experience in industry or academia.
- Experience leading a team and a proven track record of cross-functional collaboration.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in machine learning and deep learning applied to large-scale datasets.
Responsibilities
- 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.
- Collaborate with cross-functional teams to deliver systems with machine learning capabilities.
Benefits
- 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.
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