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Deep learning algorithm Intern - speech recognition

156079
Beijing Shi, China, China
Oct 28, 2018

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Job Description

Description

Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP (Adaptive Compute Acceleration Platform), designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future in a multitude of markets including Data Center (Compute, Storage and Networking); Wireless/5G and Wired Communications; Automotive/ADAS; Emulation & Prototyping; Aerospace & Defense; Industrial Scientific & Medical, and others. Xilinx's core strengths simultaneously address major industry trends including the explosion of data, heterogeneous computing after Moore's Law, and the dawn of artificial intelligence (AI).

Our global team is growing and we are looking for bold, collaborative and creative people to help us lead the industry transformation to build an adaptable intelligent world. We believe that by embracing diverse ideas, striving for excellence in all that we do, and working together as a unified team, we can accomplish anything. Come do your best work and live your best life as part of the ONEXILINX team!

 

Job Responsibilities:
--Research and develop algorithms of recurrent neural networks, focusing on speech recognition tasks;
--Research and develop LSTM neural network compression algorithms based on different frameworks;
--Analyze, test and improve LSTM neural network compression algorithms;

Job Requirements:
--BS or above degrees in Electronic Engineering or equivalent experience in relevant discipline (Speech Recognition/ Machine Translation/ Machine Learning, etc. );
--Familiar with C/C++/Python under Linux;
--Familiar with one or more deep learning algorithms, such as RNN/GRU/LSTM;
--Familiar with one or more deep learning frameworks, such as Tensorflow/PyTorch/Kaldi;
--Hard-working and creative; capable of learning the latest algorithms and theories via research papers;
--Strong sense of responsibility and team spirit, excellent learning abilities, willing to take on challenges and work under pressure;
--Experience in academic papers in CVPR/ ICCV/ ECCV/ NIPS/ ICLR/ TPAMI (or other top academic conference/journals) is preferred.

Education Requirements

Years of Experience
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