On-Device ML Integration Engineer, Graphics, Games and Machine Learning

nImagine 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 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 Apples machine learning workflows across Camera Siri Health Vision and other core experiences contributing to the overall Apple Intelligence 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.n

We are seeking a seasoned ML Engineer with broad experience and an in depth understanding of machine learning models and this senior role you will ensure Apples 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 a power user of Apples 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 Apples authoring and runtime APIs. This role offers the unique opportunity to shape how ML developers experience Apples end-to-end inference stack from model creation to deployment.

Ensure functional and performant integration of Apples ML models across the inference Apples ML tools into internal and external model repositories to demonstrate and stress-test model ingestion with peak efficiency and performance. nnDevelop optimizations across the pipeline including model-level transformations custom operations or compiler optimizations to improve inference the integration of the cutting-edge ML models with peak performance using these examples to validate or improve Apples inference stack.

Bachelors in Computer Sciences Engineering or related in Python programming. Some experience with C is in at least one ML authoring framework such as PyTorch MLX and JAX. nnUnderstanding of ML fundamentals including common architectures such as of GPU programming communication skills including ability to communicate with cross-functional audiences.n

Experience with C with GPU kernel with MLIR/LLVM or similar compiler with Hugging Face or other model repositories.