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Deep Learning R&D Engineer_CG

Intel


Location:
San Diego, CA
Date:
08/18/2017
2017-08-182017-09-16
Job Code:
JR0028263
Categories:
  • Engineering
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Job Details

Deep Learning R&D Engineer_CG Careers at Intel in San Diego, CA
   
Job ID: JR0028263
Job Category: Engineering
Primary Location: San Diego, CA US
Other Locations: US, Arizona, Phoenix; US, Oregon, Hillsboro; US, California, Santa Clara;
Job Type:

Deep Learning R&D Engineer_CG

Job Description

Develop tools and models for our custom 16 bit numerical format for deep learning
Invent optimized architectures and layers for training convolutional and recurrent  networks in low bit-width using neon, our Python Deep Learning framework
Work on applications in the following areas: computer vision, object detection and localization, speech recognition, natural language processing, recommendation systems, forecasting, and multimodal learning
Instrumenting our library to detect and track overflows, monitor dynamic range



Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. Who we are looking for Minimum Qualifications: Master’s or PhD, in computer science, electrical engineering or related fields (statistics, applied math, computational neuroscience). 1-2 years of experience in the following areas: Deep learning, machine learning & big data. Experience using fixed point or low precision numerical formats for algorithms in fields such as image and audio processing. Ideally this includes experience porting floating point algorithms to fixed point Experience with SIMD acceleration using frameworks such as AVX, OpenCL, CUDA is a plus. Experience designing professional software using Python, C++ Preferred Qualifications: Prior experience with binary networks or float16 is a plus.



Other Locations
US, Arizona, Phoenix; US, Oregon, Hillsboro; US, California, Santa Clara;


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