Apple · Cupertino

On-device ML Infrastructure Engineer (Core ML Framework)

(f/m/d) · 3/25/2025

Description

We are building an end-to-end developer experience for ML development that, by taking advantage of Apple’s vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis. This role focuses on the Core ML framework APIs for execution on-device. We’re looking for a highly motivated software engineer that is creative, talented, and passionate about providing high quality developer tools and APIs in the fast paced and dynamic space of ML. Key responsibilities: * Designing and implementing APIs supporting on-device deployment of ML models * Architecting and maintaining the internals of the Core ML framework * Evolving the Core ML model format * Working with internal and external developers to enable their uses cases powered by on-device ML * Triaging and addressing framework performance issues and functionality gaps

Qualifications

  • BS/MS/PhD in Computer Science or Electrical Engineering
  • Solid programming skills in at least one of the following programming languages: Swift,
  • Objective-C, C/C++, Rust with strong attention to detail
  • System level programming and debugging experience such as efficient file I/O, memory management, and concurrency.
  • Experience building, maintaining, and evolving software libraries
  • Experience with API design and software architecture.

Preferred Qualifications

  • Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch)
  • Knowledge of general ML Framework implementation (Jax, PyTorch, or TensorFlow)
  • Experience with MLIR / LLVM compiler technologies
  • Exceptional verbal and written communication skills

Benefits

Application

View listing at origin and apply!