Join the Applied Sensing & Health team and build the software systems that will enable the next generation of fitness, safety , health experiences. We are a highly multi-disciplinary team and we tackle the most challenging problems in this space. As a member of our team, you will have the unique and rewarding opportunity to shape upcoming products that will motivate and inspire millions of Apple's customers every single day .
Description
The Applied Sensing & Health team delivers Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple products. We are looking for an ML engineer who cares deeply about their craft to join our team. The roles and responsibilities include designing and implementing models and algorithms for Safety , Health, and Fitness use cases, driving failure analysis and providing interpretable insights, optimizing implementations for power, memory and performance, and and coordinating closely with multi-disciplinary teams across the company . Y ou will work with scientists, engineers, QA, and project managers throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems. Most importantly , you will help ship features that impact millions of users on a daily basis.
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Minimum Qualifications
- MS or PhD in quantitative modeling and data science discipline (machine learning, statistics/biostatistics, epidemiology)
- Strong background in developing machine learning and/or deep learning models, preferably with time series data
- Experience in defining hypotheses, design of experiments, testing, and proving hypotheses
- Experience implementing prototypes in Python and/or MA TLAB, assessing performance, and doing failure analysis
Preferred Qualifications
- Strong verbal and written communication skills
- You have demonstrated the ability to break down complex requirements into independent components for the purpose
- of building modular systems and software
- You have experience converting desired outcomes into specs, and evaluating trade-offs between different operating
- points
- You appreciate the computational and storage complexities that come with modeling using large datasets
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses.
- You have experience working with cross-functional and/or interdisciplinary teams
- You understand the role feedback plays in your growth, and how effective communication affords more feedback
- opportunities
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 $147,400 and $272,100, 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 .
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