Machine Learning Resource Management Engineer - SIML, ISE

Summary
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies.

We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple's ecosystem. Our work is behind essential features such as Camera, Text & Handwriting recognition, and Apple Intelligence experiences (Image Playground, Writing Tools, Smart Script, Math Notes..). This is an exciting time to join us: grow fast, and have an impact on multiple key features on your first day at Apple!



Description
Our team focuses on building the best possible ecosystem for ML R&D engineers to build Apple-quality ML-based technologies. We develop numerous tools to facilitate development of ML models and collaboration around these ML models, and we manage the use of multiple resources such as training compute for Software Engineering, or disk footprint of on-device ML models throughout our operating systems. This unique combination of tooling and resource management provides fantastic opportunities to improve the tools at the service of the policy efforts. These efforts cross organizational boundaries and impact almost every engineering organization within the company.

In this role: you will focus on the resource management role of our team. You will be tasked to co-design, together with a senior architect the next waves of improvements on how we manage these resources from a technical and policy standpoint, and how we influence the rest of the company on these aspects. It is a highly cross-functional role with significant exposure to challenges across all aspects of the stack.

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