Job Details

Role Number: 200630291-0836

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. 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 blend of tooling and resource management offers a powerful opportunity to enhance the tools that support our policy initiatives. These initiatives span organizational boundaries and influence nearly every engineering team across the company.

In this role: you will focus on the resource management role of our team. You will be tasked to contribute to 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.

Minimum Qualifications

• Bachelors or Master’s degree, or equivalent experience

• 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

• Foundational understanding of machine learning concepts and the development lifecycle

Preferred Qualifications

• Expertise in leading infrastructure strategy for scalable, high-performance ML systems (storage, compute, networking, and benchmarking)

• Demonstrated success in a resource management role within a technical or engineering organization

• 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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .