Software Engineer, Input Experience Analytics
Job Description
Summary
At Apple, our goal is to provide an effortless input experience to everyone, no matter what languages they speak, across modalities, with world-class intelligence at the core. The Input Experience organization is directly responsible for keyboard, pencil and live text input across multiple platforms. We also work very closely with the Siri speech team to seamlessly integrate dictation into our user’s text input.
We are looking for an experienced Software Engineer who is passionate about the power of data to drive product innovation and improvements. By joining our Analytics Team, you will help develop on-device telemetry and analysis for a wide range of input experiences. This is a fantastic opportunity for a server-side Analytics Engineer to work on new challenges associated with client-side, privacy preserving metrics.
If you believe that data is a powerful way to make our amazing products even better, then we’d like to talk!
We are looking for an experienced Software Engineer who is passionate about the power of data to drive product innovation and improvements. By joining our Analytics Team, you will help develop on-device telemetry and analysis for a wide range of input experiences. This is a fantastic opportunity for a server-side Analytics Engineer to work on new challenges associated with client-side, privacy preserving metrics.
If you believe that data is a powerful way to make our amazing products even better, then we’d like to talk!
Description
You will partner across engineering groups to collectively design methods to measure the user’s input experience. You are equally comfortable designing and contributing to system-level frameworks such as UIKIt as well as building apps and other tools to support our team’s mission.
Apple is a very data-driven company when it comes to feature development and augmentation. An ideal Analytics Software Engineer is someone who is not only adept at software engineering and analytics, but also someone with a good eye for user experience. Using the power of real-world data, you'll have an important hand in shaping upcoming iOS and macOS features.
IN THIS ROLE, YOU WILL:
Collaborate within and across teams to define the next generation architecture for Input Experience Analytics that will be embedded into our OS platforms. This includes close collaboration with our team’s data scientists
Design, implement and test new metrics and Key Performance Indicators (KPIs)
Develop applications that complement our embedded analytics
Provide assistance to engineers on other teams implementing feature-level metrics
Apple is a very data-driven company when it comes to feature development and augmentation. An ideal Analytics Software Engineer is someone who is not only adept at software engineering and analytics, but also someone with a good eye for user experience. Using the power of real-world data, you'll have an important hand in shaping upcoming iOS and macOS features.
IN THIS ROLE, YOU WILL:
Collaborate within and across teams to define the next generation architecture for Input Experience Analytics that will be embedded into our OS platforms. This includes close collaboration with our team’s data scientists
Design, implement and test new metrics and Key Performance Indicators (KPIs)
Develop applications that complement our embedded analytics
Provide assistance to engineers on other teams implementing feature-level metrics
Minimum Qualifications
- Proven software engineering background including key concepts such as data structures, algorithms, & object-oriented design
- Understanding of object-oriented language (e.g., C, C++, Objective C, C#, Java, Swift)
- BS or equivalent experience in Computer Science or related field
Preferred Qualifications
- Experience with automated testing (e.g., unit, integration, UI) as a means to insure high quality software
- Experience or interest in statistics, software metrics and analytics
- Experience or curiosity about input technologies such as keyboards or speech
- Great communication and collaboration skills
