As a senior engineer on the ML Compute Capacity team at Apple, you will design, build, and operate production systems that optimize the distribution of compute resources across the company. The team focuses on large-scale machine learning workloads, requiring expertise in distributed systems and high-performance computing. You will work across various technologies, including data pipelines, backend services, and APIs, in a fast-paced and high-autonomy environment. The role emphasizes data analysis, performance characteristics of distributed systems, and knowledge sharing.

• 5+ years of experience in relevant areas
• Proficiency in Python for production backend and data engineering work
• Experience building data pipelines and crafting robust queries over large-scale, multi-source data
• Experience designing and building RESTful APIs and working with cloud storage technologies
• Experience with modern web frameworks like React
• Experience with observability tools or equivalent monitoring systems
• Excellent problem-framing and problem-solving skills
• Strong CS fundamentals
• Bachelor's degree or higher in Engineering, Mathematics, Economics, or a related quantitative field
• Experience operating Kubernetes at production scale
• Familiarity with accelerator utilization patterns across ML training and inference
• Strong interest in capacity planning, cost attribution, or FinOps systems

• Design, build, and operate production systems for optimal compute resource distribution
• Develop telemetry systems and optimization algorithms for managing demand
• Create intuitive tools to improve efficiency across Apple's accelerator fleet
• Collaborate with team members to analyze data patterns and performance characteristics
• Ensure services are scalable, highly available, and reliable

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.