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Job Information

Intel Graphics Media Software Intern in Folsom, California

Job Description

As a Machine Learning Intern with the Visual Technologies Architecture Team, you will be working on the research and development of cutting edge Machine Learning based Video processing for Media and Gaming solutions. Your responsibilities shall revolve around:

  • Neural Network topology identification for solving multiple video processing problem statements such as text identification or SDR to HDR up-conversion

  • Training of candidate neural network across multiple vectors such performance or video quality

  • Performance characterization of identified candidate neural networks on Intel technology

Qualifications

Required Experience

A successful candidate shall have the following profile:

  • MS in computer science or mathematics

  • Academic or industry experience in the field of Machine Learning. Training of Deep Learning neural networks. Demonstrated solutions to specific problem statements using Deep Learning based inferencing.

Desired Experience

6+ months

-Knowledge and experience of the following technologies is desired:

-Video coding techniques and algorithms

  • Image processing

Inside this Business Group

The Core and Visual Computing Group (CVCG) is responsible for the architecture, design and development of the CPU core and visual technology IPs that are central to Intel's system-on-a-chip (SoC) products and key to our datacenter, client and Internet-of-Things (IOT) platforms. CVCG strives to lead the industry through continuous innovation and world class engineering.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance....

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