Apple's System Intelligent and Machine Learning (SIML) group needs to improve the management of ML R&D resources, including training compute and on-device ML model disk footprint, to facilitate the development of Apple-quality ML-based technologies and support policy initiatives across the company.
Requirements
- Foundational understanding of machine learning concepts and the development lifecycle
- Expertise in leading infrastructure strategy for scalable, high-performance ML systems (storage, compute, networking, and benchmarking)
- Deep, practical knowledge of the modern ML development landscape and its associated challenges
- Programming and technical skills that enable hands-on contributions to tooling and ML systems
Responsibilities
- Contribute to improvements on how we manage these resources from a technical and policy standpoint
- Influence the rest of the company on these aspects
- Focus on the resource management role of our team
- Develop numerous tools to facilitate development of ML models and collaboration around these ML models
- Manage the use of multiple resources such as training compute for Software Engineering
- Manage the disk footprint of on-device ML models throughout our operating systems
- Enhance the tools that support our policy initiatives
Other
- 5+ years of experience leading sophisticated, cross-functional technical projects from inception to completion
- A proven ability to create, implement, and refine durable, large-scale processes
- Exceptional communication and interpersonal skills, with a talent for building consensus
- A strong generalist mindset with the ability to deconstruct complex problems and drive toward clear, optimized solutions
- Demonstrated success in a resource management role within a technical or engineering organization
