Machine Learning Compute Efficiency Lead, Infrastructure & Planning

Cupertino, California, United States Machine Learning and AI

• Own and support ML compute management for Apple’s inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving.
• Collaborate closely with Apple Intelligence and ML engineering teams to understand roadmaps and resource pain points to develop and implement resource strategies.
• Optimize Apple’s ML workloads by driving performance improvements, maximizing resource utilization, and reducing service costs through deep root cause analysis that shapes both engineering decisions and the end customer experience.
• Architect solutions for large-scale optimization problems, including capacity allocation, workload scheduling, and cost reduction, enabling Apple's AI-driven experiences.
• Advocate on behalf of Apple’s ML engineers to bring a consolidated view of ML platform and model inference requirements to Apple’s internal infrastructure platform providers and 3rd party public cloud providers.

• MS or PhD in a relevant field
• Direct experience with foundation model serving, inference, and training at scale
• Familiarity with PyTorch, JAX, cluster management (Slurm, Kubernetes), or GPU/TPU hardware
• Prior experience in efficiency, Fin Ops, or capacity planning
• Experience negotiating technical roadmaps with platform or infrastructure teams
• Background in technical and financial decision-making (TCO modeling, cost optimization)

• MS or PhD in a relevant field
• Direct experience with foundation model serving, inference, and training at scale
• Familiarity with PyTorch, JAX, cluster management (Slurm, Kubernetes), or GPU/TPU hardware
• Prior experience in efficiency, Fin Ops, or capacity planning
• Experience negotiating technical roadmaps with platform or infrastructure teams
• Background in technical and financial decision-making (TCO modeling, cost optimization)

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.

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.

Apple accepts applications to this posting on an ongoing basis.