Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.

Description:

As a capacity engineer in ML Compute Capacity team, you'll build tools, conduct analysis and implement processes to ensure optimal operation and growth of our infrastructure. This includes working with infrastructure engineers and ML teams to ensure compute resources are used effectively, and shaping strategic procurement decisions.","responsibilities":"Develop and maintain models for various capacity forecasting and TCO optimization initiatives.

Analyze supply and demand trends to advise on hardware selection, financials and procurement decisions.

Evolve telemetry systems to expose efficiency and cost opportunities across multi-tenant and heterogeneous fleets.

Build self-service tools enabling ML teams and infrastructure engineers to balance usability, utilization and costs.

Support the team through reviews and knowledge sharing.

Preferred Qualifications:

Experience developing ML models to surface insights and drive solutions.

Familiarity with accelerator utilization patterns across ML training and inference.

Familiarity with cloud compute, storage, network and services.

Comfortable developing with modern web frameworks and RESTful APIs.

Minimum Qualifications:

Ability to translate complex data into easy-to-understand actionable insights and recommendations.

Experience crafting robust queries over large-scale, multi-source data.

Proficiency in scripting, automation or modeling tools.

Experience on cross-functional projects spanning ML research, infrastructure and finance.

Bachelor's degree or higher in Engineering, Data Science, Economics or a related quantitative field.

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 .

Pay & Benefits:

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 $181,100 and $318,400, 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.