AI Machine/Deep Learning Graduate Intern

Intel Corporation
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Job Description

The Machine Learning organization within Intel Architecture Graphics and Software group has an opportunity for a Deep Learning Engineering Intern


Qualifications


You must possess the below minimum qualifications to be initially considered for this position Experience listed below would be obtained through a combination of your schoolwork classes research and/or relevant previous job and/or internship experiences

Minimum Qualifications:

  • Must be pursuing Master’s or PhD in Computer Science Computer Engineering or Electrical Engineering or related technical discipline.

6+ months of experience with the following skills:

  • Candidate must have expertise on Deep learning model development and Architecture analysis on CPUs or GPUs and other accelerators
  • Software development skills with solid experience in C and/or Python a must
  • At least one popular DL framework such as TensorFlow or Pytorch model development
  • Background in developing and optimizing Deep learning algorithms and NN topologies at least in one application area in computer vision or video or recommendation system, NLP and audio are also necessary to do detailed workload profiling and modeling

Preferred Qualifications

  • Background on Systems software optimizations and performance analyses of multi-node clustered
  • Publications and appropriate level of contribution at a Graduate level in machine learning.

Company Info.

Intel Corporation

Intel Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, in Silicon Valley. It is the world's largest semiconductor chip manufacturer by revenue, and is the developer of the x86 series of microprocessors, the processors found in most personal computers. Incorporated in Delaware, Intel ranked No. 45 in the 2020 Fortune 500 list of the largest United States corporations by total.

  • Industry
    Artificial intelligence,Semiconductors,Computer hardware,Autonomous technology
  • No. of Employees
    123,800
  • Location
    2200 Mission College Boulevard, Santa Clara, CA 95054, USA
  • Website
  • Jobs Posted

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