Deep Learning R&D Engineer
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).
Inside this Business Group
Mtech - VLSI/Microelectronics OR CS / Embedded streams
Intel AI, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI) with the Intel AI products portfolio. Harnessing silicon designed specifically for AI, end to end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel AI is inside AI and leading the next evolution of compute.