The Health Sensing team focuses on developing technologies that empower users to lead healthier lives by providing accurate health information. In this role, you will develop machine learning algorithms for health sensing applications and ensure their efficient evaluation for production use. You will collaborate closely with ML engineers, clinicians, and software and hardware engineers. The position requires delivering high-quality solutions that meet customer-facing product standards.

• BS in Computer Science, Engineering, Information Systems, or a related technical field.
• A minimum of 3 years of equivalent experience in machine learning and deep learning.
• Proficiency in Python and ML frameworks such as PyTorch and TensorFlow.
• Experience with health data analysis, including time-series data and biomedical signal processing.
• Understanding of data preprocessing, feature extraction, and model evaluation techniques.
• Familiarity with software development standard methods and teamwork.
• Sufficient software skills to run large ML training jobs efficiently on a distributed backend.
• MS or PhD or equivalent experience is preferred.

• Develop machine learning algorithms for health sensing applications.
• Ensure efficient evaluation of models for production at scale.
• Collaborate with ML engineers, clinicians, and software and hardware engineers.
• Deliver solutions on time and maintain high quality standards.

• 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.