赛灵思深鉴团队，办公地点在清华同方科技广场，后面有中文的职位描述和任职要求。
欢迎大家投简历，实习申请地址：https://careers.xilinx.com/jobs/3260742-deep-learning-algorithm-intern-speech-recognition

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!


Deep learning algorithm Intern – speech recognition

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.

神经网络算法研究实习生 —— 语音识别方向

岗位职责：
RNN神经网络算法研究开发，主要面向语音识别任务；
基于不同软件框架的LSTM神经网络压缩算法研究开发；
对已有LSTM神经网络压缩算法进行分析、测试和改进。

任职要求：
计算机，电子相关专业，本科以上学历；
要求实习时间在六个月以上，每周实习三天以上；
熟悉Linux下的C/C++/Python 编程；
熟悉至少一种深度学习算法，例如 RNN/GRU/LSTM 等；
熟悉至少一种深度学习框架，例如 Tensorflow/PyTorch/Kaldi等；
具备钻研精神和创造力，能够通过阅读论文学习最新算法和理论；
要求责任心强，有良好的学习能力和协作精神，愿意接受挑战和承受工作压力要求；
语音识别/机器翻译/机器学习等相关方向优先；
在CVPR/ICCV/ECCV/NIPS/ICLR/TPAMI等相关顶级学术会议期刊发表过相关论文者优先。
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