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Apple
Cupertino, California, United States
(on-site)
Posted
6 days ago
Apple
Cupertino, California, United States
(on-site)
Job Function
Engineering
Machine Learning Data Scientist - Health Incubation
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Machine Learning Data Scientist - Health Incubation
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionIn this role, you will be applying your in-depth knowledge of AI/ML, algorithms, data science, statistical analysis, and human physiology to explore novel feature concepts and build algorithms and ML models to support them. You will be working with other ML Scientists, Data/Integrity Engineers, Health Studies, Hardware, Clinical, and Regulatory teams to define specifications, develop instrumentation and experiments to analyze large datasets and assist with ML development, and perform failure analysis.
Minimum Qualifications
- Masters in BME/CS/CE/EECS/Math/Physics or equivalent experience
- Experience with algorithms, statistical analysis, signal processing, and scientific reasoning
- Experience creating algorithms pipelines and analyzing human signals data
- Experiences designing and analyzing human research studies
Preferred Qualifications
- Ph.D in BME/CS/CE/EECS/Math/Physics or equivalent experience
- Experience with machine learning techniques and tools
- Experience with large-scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark)
- Experience with failure analysis and root cause analysis techniques such as hypothesis testing and experiment design
- Experience in designing specifications, requirements and evaluation
- Excellent communication skills, comfortable in a collaborative and innovative development environment
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 $181,100 and $318,400, 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 seek to promote 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 .
Job ID: 80937742

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
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