On-device ML Infrastructure Engineer (Core ML Framework)

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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.
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
  • 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.
  • 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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.

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