Cambridge Residency Programme - Microsoft

Microsoft
Microsoft
Verified Company
Cambridge, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Machine learning is having a transformative effect on many research areas, fundamentally altering the way many problems are approached, and the scope of what is achievable.

Project Silica is developing a revolutionary storage technology by using femtosecond lasers to store data in glass.

The project provides an unprecedented opportunity to completely re-think how storage systems are built, and build a storage technology that's end-to-end optimized solely for the cloud, from the materials level up to the user interface.


Machine learning plays a critical role in the development and existence of the technology, enabling unprecedented information densities to be recorded and successfully read back from glass, facilitating end-to-end optimization of the write and read processes across hardware and software, and more.

Contract duration: 2 years.


Responsibilities:


Qualifications:


Required/Minimum Qualifications:


  • Completed (or ontrack to complete) a PhD in a relevant discipline.
  • Knowledge of deep learning.
  • Interest in applied research with real highworld impact.
  • Strong software engineering skills and data analysis for rapid and accurate development.
  • Creative and collaborative approach to problem solving.

Preferred/Additional Qualifications:


  • Experience optimizing ML [particularly vision] models towards running in production on inferenceoptimized hardware.
  • Publications in top tier conferences.
  • Handson experience with current deep learning frameworks (e.g., PyTorch, Tensorflow, etc.).
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