Machine Learning Resource Management Engineer - SIML

Apple

| Seattle, Washington, United States (On Site) | Full Time | 4 months ago

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Job Summary

We are the System Intelligent and Machine Learning (SIML) group at Apple, focused on building the best ecosystem for ML R&D engineers. We develop tools to facilitate the development and collaboration of ML models, and manage resources like training compute and disk footprint. This role involves improving resource management from technical and policy standpoints, influencing company-wide aspects, and has significant cross-functional exposure. You will contribute to enhancing tools that support our policy initiatives across various engineering teams.

Must Have

Bachelors or Master’s degree in Computer Science, Engineering, or equivalent experience
Skilled in leading infrastructure strategy for scalable ML systems
Proficient in Python and/or C++
Experience in engineering resource management
Experience in software automation
Understanding of fundamental machine learning concepts

Good to Have

Proven organizational skills for durable processes
Experience in web development
Deep curiosity in ML workloads and models for resource assessment

Perks & Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses
Potential for discretionary bonuses or commission payments
Potential for relocation

Job 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. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling vital 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!

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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.

Bachelors or Master’s degree in Computer Science, Engineering, or equivalent experience
Skilled in leading infrastructure strategy to support scalable, high-performance ML systems across storage, compute, networking, and benchmarking.
Proficient in Python and/or C++
Validated experience in engineering resource management with strong communication and interpersonal skills
Experience in software automation
Understanding of fundamental machine learning concepts

Proven organizational skills in order to establish durable processes
Experience in web development
Deep curiosity in what ML workloads and ML models do, in order to be able to assess them and the associated resource requirements

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.

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9 Skills Required For This Role

Cross Functional Communication Cpp Game Texts Html Networking Computer Vision Python Machine Learning

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