UPGRADE YOUR BROWSER

We have detected your current browser version is not the latest one. Xilinx.com uses the latest web technologies to bring you the best online experience possible. Please upgrade to a Xilinx.com supported browser:Chrome, Firefox, Internet Explorer 11, Safari. Thank you!

Deep learning algorithm Intern – speech recognition

158260
Beijing Shi, China, China
Jan 7, 2020

Share:

Job Description

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.


Deep learning algorithm Intern – speech recognition

 

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;

 

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.

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.


Share:

Similar Jobs

Staff Software Engineer, Vitis Libraries

Beijing Shi, China, China

DSP Specialist FAE

Beijing, China, China