JobsMachine Learning Engineer - Health AIML
Job description
The Health AI team at Apple is seeking a senior engineer to tackle real-world health problems using machine learning and generative AI technologies. This close-knit group consists of accomplished research scientists and engineers dedicated to creating impactful technologies for users. The role involves designing, implementing, tuning, and evaluating machine learning models and systems. The ideal candidate will have strong interpersonal skills and the ability to collaborate across functions to apply engineering best practices in health and consumer products.
Requirements
- 6+ years of professional experience in industry or academia.
- Experience leading a team and a proven track record of cross-functional collaboration.
- 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.
- 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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