On-device ML Infrastructure Engineer (ML Execution)

Summary

Posted:Apr 14, 2025

Weekly Hours:40

Role Number:200599658

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, focusing on the development of Apple’s Core ML framework and tooling. The role entails leading efforts connecting multiple technologies, tools and APIs to meet the rapidly evolving demands of executing state-of-the-art models on Apple devices.

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 technical alignment of the tools and APIs for execution, debugging and profiling models on-device. We’re looking for a highly motivated senior software engineer with a proven track record of providing high quality developer tools and APIs in the fast paced and dynamic space of ML. In this role you will be providing technical guidance across our ML Execution stack, out side the boundaries of your own team: ensuring infrastructure, tooling and APIs for model compilation performance analysis and inference execution support all client needs and use cases from a common general workflow to highly flexible and specialized ones. KEY RESPONSIBILITIES: – Design, build, and maintain critical infrastructure that powers Apple’s on-device machine learning features – Identify, prioritize, design and implement solutions to address developer pain points, feature requests and feedback – Provide technical direction and implementations that ensure scalability, reliability, and maintainability of Core ML – Collaborate with cross functional partners on technical roadmaps and align project goals to maximize impact and quality of Apple’s on-device ML capabilities

Minimum Qualifications

• Bachelors in Computer Science, Engineering, or related discipline.
• Highly proficient in one or more programming languages (e.g., C++, Swift, Python) and experience with various development frameworks and tools.
• Deep understanding of system design, architecture patterns, and scalability concerns to build efficient, maintainable, and reliable software.
• Sound understanding of ML fundamentals and workflows involved in model deployment in production
• Knowledgable of ML workflow, runtime and app integration pain points and existing solutions in this space.

Preferred Qualifications

• Experience with any on-device ML stack, such as TFLite, ONNX, ExecuTorch, etc.
• Experience with open source machine learning models (Mistral, Phi, Gemma, Huggingface, etc)
• Experience with any compiler stack (MLIR/LLVM/TVM/…).
• Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.).
• Good communication skills, including ability to communicate with cross-functional audiences.
• Experience with machine learning accelerators and GPU programming.

Pay & Benefits

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 $175,800 and $312,200, 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.