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Deep learning / Computer vision Algorithm Intern

Beijing Shi, China, China
Sep 24, 2019


Job Description


At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? At Xilinx, we hire and develop leaders and innovators who want to revolutionize the world of technology. We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.

Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice. From the start, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world's first 5G networks, we empower the world's builders and visionaries whose ideas solve every day problems and enhance people's lives.

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx we care deeply about creating meaningful development experiences while building a strong sense of belonging and connection. We foster an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters - world class technology that improves the way we live and work. We are ONEXILINX.

Job Responsibilities: 
--Research on key algorithms of deep learning (including various network architectures and applications), and computer vision tasks (including classification, object detection, and semantic segmentation). 
--Adapt key algorithms to real word applications, such as intelligent surveillance, ADAS/AD and large-scale speech recognition. 
--Algorithm optimization for specific scenario. 
--Write algorithm analysis and optimization report. 

Job Requirements: 
--Computer vision or machine learning related majors. 
--Experience with at least one deep learning algorithm, for example CNN, LSTM, etc. 
--Experience with at least one deep learning framework, for example Caffe, Tensorflow, Pytorch, etc. 
--Knowledge of C++ or python. 
--Candidates with relevant projects are preferred, such as object detection, object tracking, etc. 
--With research, creativity, and ability to learn the cutting-edge algorithms and theories through paper reading. 
--Request to ensure attendance at least three days a week.
Refer to the Talent Network

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