The Health Sensing team focuses on developing advanced technologies to help users maintain their health and well-being through accurate and timely information. In this role, you will develop machine learning algorithms for health sensing applications and ensure their efficient evaluation for production use. You will work closely with ML engineers, clinicians, and software and hardware engineers to deliver high-quality solutions. This position requires a strong background in machine learning and a collaborative mindset.

• BS in Computer Science, Engineering, Information Systems, or a related technical field.
• A minimum of 3 years of equivalent experience in developing machine learning and deep learning models, preferably in the health domain.
• Proficiency in Python and ML frameworks such as PyTorch and TensorFlow.
• Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing.
• Proven 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 with large volumes of data.
• Interpersonal skills and comfort in collaborative and innovative research environments.
• MS or PhD or equivalent experience.

• Develop machine learning algorithms for health sensing applications.
• Ensure efficient evaluation of ML models for production at scale.
• Collaborate closely with ML engineers, clinicians, and software and hardware engineers.
• Deliver high-quality solutions on time that meet customer-facing product 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.