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4 дня назад

Machine Learning Intern (Ai)

36 - 48CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Intern (AI): Modeling and simulating cutting-edge deep learning algorithms for Accelerator IP development in collaboration with Data Scientists. Focus on performance analysis of deep learning architectures and operations on various hardware platforms.

Location: Onsite in Toronto, Canada

Salary: 36-48 CAD per hour

Company

hirify.global’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world.

What you will do

  • Model and run performance analysis of deep learning architectures for proprietary hardware design.
  • Run deep learning benchmarks on CPU and GPU.
  • Model deep learning operations of the Accelerator under development and run performance analysis.
  • Investigate and comprehend related technical reports and research papers.
  • Write technical reports on experiments performed.

Requirements

  • Currently enrolled in a university and registered with the school's co-op program (Master or Ph.D. preferred).
  • Concrete programming skills in Python, C++.
  • Familiar with high performance computing, distributed processing, algorithm and data structures.
  • Familiar with fundamental deep learning concepts and machine learning algorithms.
  • Familiar with fundamental computer hardware architecture and multi-core processors.
  • Demonstrate strong communication skills.

Nice to have

  • Experience with deep learning frameworks such as Tensorflow and PyTorch.
  • Very familiar with the Linux development environment.
  • Familiar with linear algebra algorithms such as matrix factorization, SVD.

Culture & Benefits

  • Competitive compensation and great benefits.
  • Enjoy a workstyle within an environment of shared collaboration, transparency, and inclusivity.
  • Dedicated to giving people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us.

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