Health Sensing ML Engineer
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.
Description
In this role, you will be at the forefront of developing ML algorithms for health sensing applications and ensuring the efficient evaluation of these models to be in production at scale. You will interact closely with ML engineers, clinicians, software and hardware engineers. You will deliver solutions on time and with high quality standing up to the standards of a customer facing product.","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
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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
Preferred Qualifications
Interpersonal skills; comfortable in a collaborative and ground breaking research environments
MS or PhD or equivalent experience
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
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. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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