Summary
Posted: Oct 6, 2020
Weekly Hours: 40
Role Number:200197350
Our mission is to personalize the user experience on Apple devices based on where you go, when, and what those p...Summary
Summary
Posted: Oct 6, 2020
Weekly Hours: 40
Role Number:200197350
Our mission is to personalize the user experience on Apple devices based on where you go, when, and what those places mean to you. You're experiencing our work whenever you see a suggested location in Maps or Calendar, or browse your Memories in Photos. We're working for you whenever your phone engages Do Not Disturb While Driving or remembers where you parked.
We're looking for motivated, expert technical leaders to help take our software to the next level of capability, quality, and impact! Do you have a background in software development, signal processing or location domain expertise like GPS, WiFi location, and are looking to move up the stack? Do you know SW development, and want to apply that experience to a deeply impactful and broadly applicable domain? Are you excited by the optimization problem of providing rich contextual intelligence within a constrained resource footprint? If any of these describe you, read on!
Key Qualifications
In this job, you'll develop the next frontier of mobile technology, in partnership with teams in sensing, Siri, and apps. Hungry for the responsibility to work on complex problems from end to end? In this position, you will:
- Conceptualize, explore, and define new inferential and predictive location- and motion-based capabilities for Apple's platforms.
- Collect, curate, and analyze real-world data sets of varying size and complexity.
- Aggregate, filter, and cluster data from a variety of local sensors: GPS, WiFi, accelerometer, and others.
- Design and implement algorithms, then integrate them into production code.
- Test your work. Dog-food it. Collect metrics, and iterate. Don't forget to sweat the edge cases-an issue that impacts 1% of a billion devices is a big issue.
A dedication to users' privacy and security is core to how Apple does business. We want their devices to exhibit the intelligence and proactivity that can only come from deep contextual understanding. We don't want their sensitive data coming back to Apple or being exposed to third parties. Other companies tackle similar problems in very different ways. Our way is more work. We believe it's worth it.
Education & Experience
BS, MS, or PhD in Computer Science, Computer Engineering, or a similar field
Additional Requirements
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