Deep learning engineerActions

Job Description:
Plans, designs and develops tools and models for deep learning. Invent optimized architectures and layers for training convolutional and recurrent networks in low bitwidth using Neon, our Python Deep Learning framework. Responsible for instrumenting our library to detect and track overflows and monitor dynamic range. Maintains substantial knowledge of leading edge deep learning models, principles and theories. This job may contribute to deep learning literature and conferences. Master's or PhD in computer science, electrical engineering or related fields (statistics, applied math, computational neuroscience).

Qualifications:
Master; 5 years experience on embedded processors , video/vision related applications, system knowledge, technical issue trouble shooting capability, willingness to learn new technology. Linux , openVINO, public deep learning framework/networks knowledge.
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FROM 192.102.204.*