Machine Learning Resource Management Engineer - SIML
Job Summary
Job Description
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:
- 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
9 skills required
Job Details
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!
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
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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