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 Health Sensing Data Scientist - San Diego, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Engineering - Electrical
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200176785 / Latpro-3744792 
Date posted: Jun-23-2020
State, Zip: California, 92101


Health Sensing Data Scientist

San Diego , California , United States



Posted: Jun 19, 2020

Role Number: 200176785

"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 Do your life's best work and come be a part of a hardworking engineering team crafting next-generation health features to improve the lives of millions of people. Apple's Human Interface Devices team is looking for a Data Scientist with extensive knowledge of statistical modeling, pattern recognition, and machine learning along with strong programming skills. You will explore and develop new ML mythologies to extract meaningful insights from health data.

Key Qualifications

  • 4+ years of experience in machine learning algorithm development on real-world problems
  • Strong fundamentals in statistical problem solving, algorithm design, and model development
  • Excellent communication and presentation skills; ability to distill complex analysis and concepts into concise takeaways
  • Strong programming skills in Python or C++
  • Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch.
  • Hands-on experience with data engineering tools (e.g. MapReduce, Spark) is a plus


You will be responsible for implementing ground breaking statistical and machine learning methodologies to extract meaningful health insights from portable and wearable sensors. This is a key position that is a focal point supporting next generation health features for millions of Apple customers. You will be responsible for developing and tuning ML algorithms utilizing extensive real-world data sets, as well as failure analysis and performance optimization. End-to-end project ownership is encouraged, from initial problem formulation through data pipeline development, algorithm architecture design, and end-user performance modeling.

Education & Experience

PhD in BME/CS/CE/EECS/Math/Physics or equivalent experience Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.


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