Machine Learning Resource Manager, SIML at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Resource Management, Process Implementation, Communication, Negotiation, Interpersonal Skills, Technical Skills, Capacity Planning, Collaboration, Efficiency Metrics, Infrastructure Strategy, ML Development Lifecycle, Programming Skills, Tooling, Benchmarking

Industry

Computers and Electronics Manufacturing

Description

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 support daily operations helping the engineering teams in SWE navigate resource-related concerns as well as interface with the platform teams, capacity planning, and finance teams. You will own the efficiency metrics for the org, both exposing issues and correcting. You will also 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 in industry A proven ability to create, implement, and refine durable, large-scale processes Exceptional communication, negotiation, 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 Strong technical skills to allow for diving deep when needed General understanding of fundamental 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

Responsibilities

The role focuses on resource management to support engineering teams in navigating resource-related concerns and interfacing with platform, capacity planning, and finance teams. The manager will own efficiency metrics and contribute to improvements in resource management from both technical and policy perspectives.