Sr. Software Engineer, Emoji UI

At Apple, we believe a well-placed emoji can speak louder than words (and save you from typing an entire paragraph). As an Emoji UI Software Engineer, you’ll build the seamless, delightful experiences that bring emojis to life across iOS, iPadOS, macOS, and beyond. But personal expression doesn’t stop at emoji! Our team is pioneering the next generation of personal expression with features like Live Stickers and Genmoji. You’ll collaborate with a cross-functional team to push the boundaries of digital expression—making communication more fun, inclusive, and meaningful.

Description

The Emoji UI team is responsible for user features related to emoji, Live Stickers, and Genmoji across iOS, iPadOS, and macOS. Our work encompasses a wide range of tasks, including user interface design, search & prediction, syncing & persistence, and the integration of ML and AI features. As an engineer on the team, your responsibilities will range from prototyping new user interface paradigms and implementing new features to defining API, fixing bugs, and improving performance. You should have an excellent understanding of software design, good debugging skills and an eagerness to work hard and learn a lot. You should have an eye for detail and a feel for making user interactions feel fluid and fun. As our team works cross-functionally with many other groups across Software Engineering, AIML, and Design, you should have a good understanding of systems and excellent communication and collaboration skills!

Minimum Qualifications

5+ years of software development experience and proficiency with the following: Swift & Objective-C with AppKit and UIKit Apple’s development ecosystem (Xcode, git, LLDB, Instruments) Architecting and implementing reusable public or private APIs Testing software at different levels like unit tests, UI tests, or automation tests B.S in Computer Science or Software Engineering, or equivalent experience

Preferred Qualifications

Familiarity with SwiftUI Excellent problem-solving and debugging skills The ability and desire to re-architect and modernize code for maintainability and cleanliness The ability to collaborate effectively with teammates from diverse disciplines and backgrounds, fostering learning and mentorship Excellent communication skills, including the ability to simplify and summarize complex ideas Experience integrating ML and AI features The skill to accurately estimate work based on past experience The ability to prioritize tasks