On-device ML Infrastructure Engineer (Core ML Framework)
Apple
Software Engineering, Other Engineering, Data Science
Cupertino, CA, USA
USD 143,100-264,200 / year + Equity
Posted on Mar 27, 2025
Summary
Posted:
Weekly Hours: 40
Role Number:200595711
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations. This infrastructure underpins most of Apple’s critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence. Our group is looking for an ML Infrastructure Engineer, with a focus on the development of Apple’s Core ML framework. The role entails designing, implementing and maintaining APIs for on-device model execution.
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
Minimum 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.
Key Qualifications
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
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.