Machine Learning Architect

3 days ago


Watertown, Massachusetts, United States Apple Full time

We are seeking a highly skilled Machine Learning Architect to join our team at Apple.

The successful candidate will have experience in designing and developing compiler-based optimizations for Metal backend in ML frameworks such as torch.compile for PyTorch. Key responsibilities include working on cutting-edge ML inference framework project, optimizing code for efficient and scalable ML inference using distributed techniques, implementing features of Metal device backend for ML training acceleration technologies, and collaborating with Core teams of PyTorch, JAX, or Tensorflow to provide Metal runtime and device backend support.

Our ideal candidate will have 3+ years of programming and problem-solving experience with C/C++/ObjC, experience with Distributed training or inference techniques, GPU compute programming models & optimization techniques, and experience with system level programming and computer architecture. Contributions to an AI framework such as PyTorch, JAX, or Tensorflow are a plus, as well as experience with graph compilers such as Triton, OpenXLA, or LLVM/MLIR.

In this role, you will have the opportunity to work on cutting-edge technology that accelerates machine learning libraries on Apple Silicon, influence the design of compute and programming models in next-generation GPU architectures, and optimize GPU-accelerated training across products.

Estimated Salary: $120,000 - $180,000 per year



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