Health Sensing ML Engineer
Cupertino, California, United States

The Health Sensing team builds outstanding technologies to support our users in living their healthiest, the happiest lives by providing them with objective, accurate, and timely information about their health and well-being. As part of the larger Sensor SW & Prototyping team, we develop algorithms for a variety of health sensors, including PPG, accelerometer, ECG.

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 and finding weaknesses; drive design decisions with in-depth failure analysis
• Build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year projects
• Work multi-functionally to bring algorithms to real-world applications; this can span a wide range of partnerships with clinical authorities and engineering specialists across HW and SW

Minimum Qualifications

• BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience
• Proven experience in developing machine learning and deep learning models, preferably in the health domain
• Proficiency in Python and ML frameworks e.g. PyTorch, 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
• Familiar with software development standard methods/teamworks
• Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data

Preferred Qualifications

• Interpersonal skills; comfortable in a collaborative and ground breaking research environments
• MS or PhD or equivalent experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Apple accepts applications to this posting on an ongoing basis.