The Engineering Manager will lead the Performance Tools and Services team within Apple's On-Device Machine Learning group. This team focuses on developing tools and infrastructure to measure, understand, and improve on-device machine learning performance. The role involves overseeing full-stack web development, backend services, and low-level performance tooling. The manager will work closely with various leaders across the organization to enhance the developer experience for machine learning on Apple devices.

• BS/MS/PhD in Computer Science or Electrical Engineering
• Two or more years of strong and validated management experience
• Knowledge of machine learning development and workflows, including experience with at least one authoring framework such as PyTorch
• Experience delivering web services and/or developer-facing tools, spanning frontend and backend
• Excellent communication skills
• Solid programming skills in at least one of the following languages: Python, Swift, Objective-C, C/C++
• Experience with on-device machine learning frameworks like Core ML, Win ML, ONNX, TF Lite or ExecuTorch
• Experience with performance profiling, benchmarking, and analysis tooling
• Experience building and operating infrastructure for running workloads across fleets of devices
• Experience associating low-level performance data with framework-level operations
• Experience with MLIR / LLVM compiler technologies

• Lead a diverse team focused on performance tools and services for on-device machine learning
• Develop frontend and backend web services for introspecting ML models and their execution
• Oversee the on-device toolchain that gathers low-level performance data and associates it with high-level operations
• Build infrastructure for running ML inference across fleets of devices
• Partner with leaders across the organization to enhance the platform and support clients
• Provide fast, accurate, and actionable insights into model execution for ML developers

• 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.