Imagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation.
Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding cutting-edge architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem.
If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an exciting opportunity to work on the next generation of intelligent experiences on Apple platforms.
We are seeking an ML Integration Engineer. In this role, you will ensure Apple's inference stack allows integrating ML workflows end-to-end with excellent user experience, flawless functionality, and maximum performance. This role is far reaching and you will partner with teams across our ML deployment stack, from ML model developers to runtime engineers, as you ensure the best experience, functionality, and maximum performance for ML workflows. The scope of work is wide, spanning model-side updates, ML frameworks export, custom kernels, compiler optimization, and development of analysis and debugging tools.
As a power user of Apple's ML infrastructure, you will also help spearhead the integration of the latest and most capable models with strong, competitive performance across hardware targets, showcasing the practical power of Apple's authoring and runtime APIs. This role offers the unique opportunity to shape how ML developers experience Apple's end-to-end inference stack, from model creation to deployment.Ensure functional and performant integration of Apple's ML models across the inference stack.
Integrate Apple's ML tools into internal and external model repositories to demonstrate and stress-test model ingestion with peak efficiency and performance.
Develop optimizations across the pipeline, including model-level transformations, custom operations, or compiler optimizations to improve inference efficiency.
Spearhead the integration of the cutting-edge ML models with peak performance, using these examples to validate or improve Apple's inference stack.Bachelors in Computer Sciences, Engineering, or related discipline.
Proficient in Python programming. Some familiarity with C++ is required.
Proficiency in at least one ML authoring framework, such as PyTorch, MLX, and JAX.
Understanding of ML fundamentals, including common architectures such as Transformers.
Understanding of GPU programming paradigms.
Strong communication skills, including ability to communicate with cross-functional audiences. Experience with C++, Swift.
Experience with GPU kernel optimizations.
Experience with MLIR/LLVM or similar compiler toolchains.
Familiarity with Hugging Face or other model repositories.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.