The On-Device Machine Learning team at Apple is seeking an ML Infrastructure Engineer focused on graph compilers and runtimes. This role involves building advanced ML graph compilation and runtime systems to optimize and deliver machine learning models efficiently on Apple products. The team operates at the intersection of research, software engineering, hardware engineering, and product development, contributing to Apple's machine learning workflows across various core experiences. Candidates should be passionate about the technical challenges of running sophisticated ML models on resource-constrained devices.

• Masters or equivalent experience in Computer Sciences, Engineering, or a related subject area.
• Highly proficient in C++ or Swift, with familiarity in Python.
• Experience with any compiler stack such as MLIR, LLVM, or TVM.
• Familiarity with Operating Systems, embedded programming, and parallel programming.
• Sound understanding of machine learning fundamentals, including common architectures such as Transformers.
• Good communication skills, including the ability to communicate with multi-functional audiences.
• Experience with any on-device ML stack, such as TFLite, ONNX, or ExecuTorch.
• Experience with any ML authoring framework like PyTorch, TensorFlow, or JAX is a strong plus.
• Experience with accelerators and GPU programming is a strong plus.

• Build the world's most advanced ML graph compilation and runtime system.
• Optimize and deliver ML models efficiently on Apple products and services.
• Develop optimization toolkits for model compression and acceleration.
• Create comprehensive benchmarking and debugging toolchains.
• Contribute to the overall Apple Intelligence ecosystem through machine learning workflows.

• 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.