Machine Learning Data Scientist - Health Incubation
"I believe, if you zoom out into the future, and you look back, and you ask the question, 'What was Apple's greatest contribution to mankind?' It will be about health." - Tim Cook, 2019
Would you like to be a critical part of an engineering team building next-generation features to improve health using sensing technologies?
The Health Incubation team builds outstanding technologies to support our users in living their healthiest, 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 take a multimodal approach to health sensing, using a variety of sensors across HW platforms, such as camera, PPG, inertial motion, temperature.
Description
In this role, you will be applying your in-depth knowledge of AI/ML, algorithms, data science, statistical analysis, and human physiology to explore novel feature concepts and build algorithms and ML models to support them. You will be working with other ML Scientists, Data/Integrity Engineers, Health Studies, Hardware, Clinical, and Regulatory teams to define specifications, develop instrumentation and experiments to analyze large datasets and assist with ML development, and perform failure analysis.
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Preferred Qualifications
Ph.D in BME/CS/CE/EECS/Math/Physics or equivalent experience
Experience with machine learning techniques and tools
Experience with large-scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark)
Experience with failure analysis and root cause analysis techniques such as hypothesis testing and experiment design
Experience in designing specifications, requirements and evaluation
Excellent communication skills, comfortable in a collaborative and innovative development environment
Minimum Qualifications
Masters in BME/CS/CE/EECS/Math/Physics or equivalent experience
Experience with algorithms, statistical analysis, signal processing, and scientific reasoning
Experience creating algorithms pipelines and analyzing human signals data
Experiences designing and analyzing human research studies
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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