Research Scientist/Engineer - Health Technologies

Posted: 26 Mar 2024

Weekly Hours: 40

Role Number:200544408

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 Python
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

Description

Investigate new technologies using a combination of bench testing and human studies Assemble test hardware from commercially available devices or define and build prototype hardware when required Develop signal processing algorithms and train machine learning models using collected data Distill and interpret findings 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 Consult literature, absorb new information, and learn new tools quickly as tasks and projects require Work closely with cross-functional team members from human studies, mechanical engineering, system electrical engineering, software, algorithms, clinical, and other groups

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

Due to the exploratory nature of our work, flexibility, versatility, and attention to detail are essential. Successful team members have the ability to find a way forward despite ambiguity and technical constraints.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $132,300.00 and $241,500.00, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.