Apple is looking to personalize the user experience on Apple devices by leveraging location and motion data to provide contextual intelligence. This involves developing software that understands where users go, when, and the significance of those places, while prioritizing user privacy and security.
Requirements
- 5+ years experience developing commercial software.
- Most of the code you write will run on mobile devices, in the hands of hundreds of millions of Apple customers. We use Objective-C, but if you know C, modern C++, or Swift, you shouldn’t have a problem.
- A working knowledge of statistics fundamentals. Your code will make estimates, identify patterns, and quantify how strong they are. You should be comfortable using histograms, basic probability, and Bayes’s Theorem. If you have a background in signal processing, data science, or machine learning, that's even better.
- An ability to evaluate and optimize for system performance: memory, CPU, radios, etc. Our software needs to provide a high level of service while sipping power.
- Experience in location estimation-GPS/GNSS, WiFi positioning, indoor localization, or discrete localization.
- Experience with Spark, Hadoop, or NoSQL data stores.
Responsibilities
- 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 on mobile devices, 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.
Other
- A dedication to users’ privacy and security is core to how Apple does business.
- A proven track record working effectively across teams.
- You’ll need to communicate clearly, plan collaboratively, execute flexibly, and cope with what will sometimes feel like a high degree of uncertainty.
