About The Position

As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group to build scalable, distributed training and research pipelines. Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon - Is this you? If so we'd love to hear from you.

Requirements

  • 2 years in C++ and Python numerical computing
  • 2 years in GPU programming
  • Experience with open-source projects and collaborative software development.
  • Experience with Machine Learning algorithms.
  • Excellent communication skills.
  • B.S., M.S. or PhD in Computer Science with a strong mathematical background

Nice To Haves

  • 3+ years in C++ and Python programming
  • 3+ Expert in GPU programming.
  • Experience with Swift programming is a plus
  • Experience and passion to circumvent unexpected roadblocks
  • Past research experience is a plus

Responsibilities

  • Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms
  • Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes
  • Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon
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