AIML - Machine Learning Engineer for MLX, MLR

Cupertino, CA, US • Posted 2 days ago • Updated 5 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Scientific Research
  • Systems Engineering
  • Software Development
  • Training
  • Software Engineering
  • Open Source
  • Groupware
  • Machine Learning (ML)
  • Algorithms
  • Communication
  • Computer Science
  • C++
  • Python
  • GPU
  • Swift
  • Research

Summary

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.

2 years in C++ and Python numerical computing\n2 years low-level programming\n2 years in GPU programming \nExperience with open-source projects and collaborative software development.\nExperience with Machine Learning algorithms.\nExcellent communication skills.\nB.S., M.S. or PhD in Computer Science with a strong mathematical background

3+ years in C++ and Python programming \n3+ Expert in GPU programming.\nExperience with Swift programming is a plus\nExperience and passion to circumvent unexpected roadblocks\nPast research experience is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 6625bcc5e68e08def27ef03ab21bf5fb
  • Posted 2 days ago
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