Jobs for People with MS: National MS Society

Machine Learning Scientist - Health Sensing

Cupertino,California,United States

Hardware

"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 Would you like to be a critical part of an engineering team building next-generation features to improve health using sensing technologies? We are the algorithm team behind ECG, oxygen saturation, sleep tracking and many more health features on Apple Watch. Our team is looking for a Machine Learning Scientist/Lead with in-depth knowledge of machine learning/deep learning, human physiology and statistical signal processing along with strong programming and framework optimization skills. Bring passion and diversity to our team, and let us create useful and amazing things that do not yet exist.

Description

Develop innovative algorithms for extracting insight from sensor and health data and optimizing performance using machine learning/deep learning on big data resources Collaborate with team members from prototyping to production Analyze and improve efficiency and stability of algorithms deployed to user devices Evaluate and model end user performance and impact Collaborate with team members to develop optimized frameworks to run machine learning experiments

Minimum Qualifications

• Bachelor's Degree

• Excellent programing skills in relevant programming languages (e.g., Python), and machine learning frameworks (e.g., PyTorch or TensorFlow).

• Experience with signal processing, machine learning, statistical analysis and scientific reasoning

• Outstanding interpersonal and communication skills, able to communicate complex topics to people from a variety of backgrounds and adapt to different audiences

Key Qualifications

Preferred Qualifications

• Master in BME/CS/CE/EECS/Math/Physics or equivalent

• Experience with algorithm design for health sensing, knowledge of human physiology is a plus

• Previous experience designing data collection studies, and analyzing data quality and usability

• Hands-on experience with large scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark) and designing/optimizing scalable frameworks to run machine learning experiments

Education & Experience

Additional Requirements

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 $138,900 and $256,500, 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 (https://www.apple.com/careers/us/benefits.html) 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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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. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .