Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part of the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day! We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting what apps you will launch next. This is just the start of making iOS more intelligent and personal. In our team you will bring expertise in software engineering to create experiences that surprise and delight our customers every day!
Description
You will work closely with talented Software and ML engineers on our team, and across Apple to design, architect and implement new experiences across iOS and all Apple platforms. As we build the future of iOS, you will be responsible for driving the development of the software and frameworks that power them. You will be responsible for developing our frameworks across a wide variety of products and features, proposing and driving innovative solutions, improving our codebase and overall architecture in service of quality and future feature development. You will be a core participant in developing new features and architectures that results in high quality features while adhering to device power and performance constraints. We are passionate about user experience and privacy. Our mission is to craft user experiences which demonstrate the power of machine learning and on-device intelligence to preserve our customers privacy. Come help build state-of-the art intelligence impacting over a billion users.
Minimum Qualifications
- Comprehensive understanding of performance characteristics, balancing tradeoffs between memory, CPU, and I/O
- BS, M.S. or PhD in Software Engineering, Computer Science or related field.
- Ability to work with large complex codebases
- Deep knowledge of Objective-C, C, or Swift
- Strong foundation in Computer Science fundamentals and Software engineering standard methodologies
- Experience in resource constrained computing (embedded systems or mobile development)
Preferred Qualifications
- Experience with UI development, design and prototyping
- Experience with machine learning, generative models or large language models
