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Apple ML Framework MetalLM Engineer United States, California, Cupertino 104736802
Today
Description
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.* Responsibilities:* Design and develop compiler based optimizations for Metal backend in ML frameworks such as torch.compile for PyTorch* Work on cutting-edge ML inference framework project and optimize code for efficient and scalable ML inference using distributed techniques* Implement features of Metal device backend for ML training acceleration technologies* Work with Core teams of PyTorch, JAX or Tensorflow to provide Metal runtime and device backend support* Tune GPU-accelerated training across products.* Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.* Intended deliverables:* GPU accelerated ML Frameworks technology* Optimized ML training across products.If this sounds of interest, we would love to hear from you!
Minimum Qualifications
- 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
- Experience with system level programming and computer architecture
Preferred Qualifications
- Contributions to an AI framework such as PyTorch, JAX or Tensorflow is a plus
- Experience with graph compilers such as Triton, OpenXLA or LLVM/MLIR is a plus
- Good understanding of machine learning fundamentals
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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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