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 Research and Development Engineer - Health Technologies - Cupertino, 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: Computers - Components
Computers - Programming Languages
Computers - Platforms
Computers - Software Engineer
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: 200294775 / Latpro-3829183 
Date posted: Oct-03-2021
State, Zip: California, 95014


Research and Development Engineer - Health Technologies

Santa Clara Valley (Cupertino) , California , United States



Posted: Oct 1, 2021

Weekly Hours: 40

Role Number: 200294775

The Health Technologies Team conceives and proves out innovative and exciting technology for Apple's future products and features in an impactful new domain for the company. We are seeking a highly motivated research-oriented engineer to join a cross-functional and multi-disciplinary team to help develop and assess industry-defining health, wellness, and fitness sensors, systems, and applications. Join our team to create extraordinary features that represent the cutting edge of innovation in the emerging and dynamic consumer health field.

Key Qualifications

  • Ability to work with biomedical sensors and systems to collect and analyze physiological data for health, wellness, and fitness applications
  • Ability to develop and apply signal processing techniques and machine learning algorithms to extract features and build models from physiological signals
  • Experience with signal processing, data analysis, and data visualization using one or more programming languages, such as MATLAB, Python, or R
  • Experience with hardware development involving lab instrumentation and prototype bringup for data collection
  • A demonstrable understanding of human physiology and prior research experience in the field of health is highly desired


Are you comfortable digging deep into the numbers to prove your work? You will help design and execute small-scale pilot studies and larger-scale studies to demonstrate the efficacy of our technologies. This will involve assembling test hardware from commercially available devices and helping to build new custom hardware. You will develop signal processing algorithms and train machine learning models that operate on collected physiological data. You will then distill and interpret findings from those studies to inform sensor and algorithm specifications, to prove (or disprove!) different feature or product concepts, and to identify product opportunities that will make meaningful impact on Apple customers. Data must be presented so that results are clear and unbiased. Familiarity with data visualization tools and basic statistics is essential. Can you partner closely with others and work flexibly to accomplish your goals? You will solicit and incorporate guidance from a variety of teams at Apple for setting sensor specifications, design and development goals, algorithms, and data visualizations. You will need to consult literature, absorb new information, and learn new tools quickly as tasks and projects require. Your intuition and adept interpersonal skills will shine as you effectively communicate results of feasibility assessments and the physiological relevance of measurement approaches to partner teams and Apple executives.

Education & Experience

A Master's or Ph.D. in biomedical engineering, electrical engineering, or equivalent, with relevant coursework and experience in signal processing, sensor development, and experimentation is required. Specific experience with medical, physiological, health, wellness, and fitness applications is highly desired.

Additional Requirements

  • Additional Requirements
  • You will thrive in our fast-paced environment if you are highly organized and able to multitask.
  • Flexible thinking, adaptability to change and comfort with ambiguity are hallmarks of successful people on our team.


See job description


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