Are you excited about the ways Machine Learning can make all Apple products more intelligent and personalized? From extending your battery life, to accelerating app launches, to managing memory intelligently, the OS Intelligence team builds innovative ML solutions ranging from predictive forecasting models to deep foundation models that improve the user experience originating from the core of the operating system. Within the umbrella of Software Engineering, the Energy Technologies division focuses on solving key resource tradeoff and optimization problems, which sets Apple products apart. The OS Intelligence team within this group is a focused Applied Machine Learning team that imbues the low layers of the operating system with Machine Learning-based intelligence. The team ships key features and technologies regularly, including Adaptive Power in iOS 26. The team is looking for extraordinary candidates to design Deep Learning architectures, implement industry-leading Machine Learning algorithms, as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, and more. In this unique and highly visible role, you will be working cross-functionally to add intelligence to new domains to create beautiful user experiences. Through data analysis, ML model development, and on-device software development, you will push the boundary of what's possible in an operating system.
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Industry
Computer and Electronic Product Manufacturing
Number of Employees
5,001-10,000 employees