Job Details

Weekly Hours: 40

Role Number: 200628588-3543

Summary

In Applied Sensing and Health (AS&H), we develop real time algorithms fusing different sensing modalities to infer impactful metrics, detect meaningful events or project enlightening insights, that we present to our users in the clearest and most beautiful way. To cite a few, ASH has built:
VO2max metrics, a state of the art measure of your health level you can find in the Health app...
Fall and Crash detection, features that are saving lives of Apple Watch and iPhone users across the planet...
Journaling Suggestions, a feature that understands how you go about your day and surfaces personalized content you can bootstrap your journaling experience with...
and many more, and even more to come!

Description

Our sensing-based features are designed close to the silicon and firmware layers, and span across many platforms. We deliver end to end experiences in health and wellbeing, that require full stack systems software expertise from sensing and algorithms to the user interface. Our North Star is delivering the best possible feature for our customers with strong product definition and data-driven validation. Our software supports the design of data collection and prototyping apps to drive forward the science and development of sensing-based metrics like VO2max, crash detection and more.

As a member of our dynamic group, you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple's customers every single day. Come be part of the adventure and work on life changing features for our users!

Minimum Qualifications

• Master’s degree or PhD in Computer Science with at least 10 years of experience as software engineer, 5 years in a technical leadership role

• Extensive experience with programming languages such as C++, Objective-C, Swift or SwiftUI

Preferred Qualifications

• Strong and intuitive understanding of computer science fundamentals, and how to architect complex systems for embedded devices

• Effective communication skills, written and verbal, and attention to detail

• Prior experience machine learning (e.g. large language models, foundation models, CNNs, Bayesian methods, etc.)

• Passion or experience with mentoring other team members

• Passion for product definition, user experience, and being the first user for your own features

• Prior experience with sensors, sensor fusion, fitness and health technologies is a big plus

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 $171,600 and $302,200, 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 about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .