Machine Learning Engineer - Health Strategic Initiatives

Job Description

Machine Learning Engineer role at Apple focusing on implementing on-device machine learning solutions for health behavior change.

Requirements

• MSc in Computer Science or related technical field
• Minimum of 8 years of relevant industry experience
• Experience with at least one of Python, Swift, or Objective-C
• Understanding of machine learning principles and common algorithms
• Proven ability to implement and test algorithms or sophisticated software components
• Demonstrated experience with the scientific method

Responsibilities

• Design, implement, and optimize machine learning algorithms and models specifically for on-device execution
• Drive the end-to-end development process for on-device ML features
• Integrate, adapt, and optimize machine learning models for efficient on-device inference within health applications
• Analyze results, iterate on solutions, and ensure the robustness and real-world impact of deployed algorithms
• Collaborate closely in a multi-functional environment with software engineers, designers, domain experts, and other ML teams

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.