Are you excited about the ways intelligence can make your battery last longer or your device perform faster? Handling resource consumption and contention is a key differentiator for Apple products and the Core OS Energy Technologies team focuses on solving these key resource tradeoff problems, with a specific focus on battery, power, thermal and performance management. By imbuing the low layers of the operating system with intelligence, we can maximize the user experience within our constraints of battery life, thermals, memory, network usage, and many other factors!
The Core OS Energy Technologies group is looking for a talented and experienced Applied ML software engineer to technically lead the team designing and implementing energy and resource management control algorithms across all iOS, macOS, WatchOS and Apple TV products.
In this unique and highly visible role, you will be at the center of optimization efforts for handling system resources, influencing and assisting cross-functionally with the adoption of novel operating system concepts. Through engineering of data analysis pipelines, data science, ML model development, and on-device deployment of these models you will push the boundary of what's possible at the core of the operating system.
Design, implement, optimize, and evangelize new operating system constructs to enable intelligent energy and resource management technologies
Build data engineering pipelines, analyze data and machine learning models
Analyze, understand, and present key performance data for highly-visible OS features
Write elegant, performant code in Objective-C or Swift and test, debug, and productize it in Apple products
Rapidly prototype new ideas and features in collaboration with others
Deploy models in resource-constrained environments, optimizing inference performance where necessary
Consult with and influence other teams to drive adoption of new APIs
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