Job Information
Apple Machine Learning Scientist - Health Sensing in Cupertino, California
Machine Learning Scientist - Health Sensing
Cupertino,California,United States
Hardware
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, arrhythmia detection, 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, data science, failure analysis, and human physiology along with strong programming and framework optimization skills. Bring passion and diversity to our team, and work with us build amazing medical devices to save lives!
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
Excellent programming skills in relevant languages (e.g., Python), and machine learning frameworks (e.g., PyTorch or TensorFlow).
Experience with signal processing, machine learning, statistical analysis and scientific reasoning
Hands-on experience with large scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark) and crafting/optimizing scalable frameworks to run machine learning experiments
Outstanding interpersonal and communication skills, able to communicate sophisticated topics to people from a variety of backgrounds and adapt to different audiences
BS and a minimum of 3 years relevant industry experience
Key Qualifications
Preferred Qualifications
Experience with algorithm design for health sensing, knowledge of human physiology
Previous experience crafting data collection studies, and analyzing data quality and usability
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 $143,100 and $264,200, 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) .
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