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Machine Learning Scientist – Health Sensing 294 views

“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 humankind?’ It will be about health.” – Tim Cook, 2019

Do your life’s best work and come be a part of a machine learning and data science team exploring next-generation health features. Apple’s Human Interface Devices team is looking for a Machine Learning Scientist with in-depth knowledge of ML/DL, data science, human physiology and statistical signal processing.

Key Qualifications

5+ years of experience in machine learning algorithm development on real-world problems

Strong fundamentals in statistical problem solving, algorithm design, and model development

Proficient in at least one prototyping language such as Python, with experience using machine learning libraries such as TensorFlow, PyTorch

Excellent communication and presentation skills; ability to distill complex analysis and concepts into concise explanations

Experience with health sensors and knowledge of human physiology is a plus

Hands-on experience with data engineering tools (e.g. MapReduce, Spark) is a plus


This is a key position on a team supporting R&D of health features for millions of Apple customers. You will be responsible for implementing ground breaking statistical and machine learning methods to develop new ML strategies for extracting insights from large-scale health data and wearable devices.

End-to-end project ownership is encouraged, from initial problem formulation through data pipeline development, algorithm architecture, study/data design and end-user performance modeling.

Education & Experience

PhD or equivalent experience in an engineering, scientific or quantitative field

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