Health Sensing ML Engineer

Job Description

Develop ML algorithms for health sensing applications and ensure efficient evaluation for production at scale.

Requirements

• BS in Computer Science, Engineering, Information Systems, or related technical field with minimum 3 years of experience
• Proven experience in developing machine learning and deep learning models in the health domain
• Strong proficiency in Python and ML frameworks like PyTorch and Tensorflow
• Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing
• Understanding of data preprocessing, feature extraction, and model evaluation techniques
• Familiarity with software development standard methods/teamwork
• Sufficient software skills to run large ML training jobs efficiently on a distributed backend with large volume of data

Responsibilities

• Develop and implement machine learning and deep learning models using health sensing data
• Analyze large-scale health data from wearable sensors to extract significant insights
• Work across the entire ML development cycle, from setting up data pipelines to model evaluation
• Analyze model behavior, find weaknesses, and drive design decisions with in-depth failure analysis
• Build end-to-end pipelines prioritizing rapid iterations for reliability of complex multi-year projects
• Work multi-functionally to bring algorithms to real-world applications in collaboration with clinical authorities and engineering specialists

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.