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Computer Vision / Deep Learning Researcher

Description

Key Qualification

Skills

Plus

Description

 

We’re looking for a talented researcher with backgrounds in computer vision/deep learning to lead the research and development of the next gen facial tracking technology by leveraging the state of the art deep learning techniques and the depth camera sensors.
 

You will shape the next generation of facial motion capture by applying the latest academic research materials to seamlessly integrate people’s digital and physical lives.
 

If you're passionate about building technology that will make a difference, we may be the team for you.
 

 

 

 

Key Qualification

 

  • Solid foundation in computer vision; key areas of interest include object detection, tracking and recognition; multiple view geometry, 3D computer vision and activity recognition

  • Deep understanding of machine learning technology and experience on turning machine learning technologies into practical, state-of-the-art systems

  • Solid C/C++ and system building skills

  • Passion on cutting edge computer vision/machine learning technologies and product delivery

  • Self motivated

  • Excellent problem solving skills

  • Excellent communication skills

  • Ms or PhD in computer graphics, computer vision,or machine learning; alternatively a comparable industry career is preferred

 

 

 

Skills

 

C++, Computer Vision, Deep Learning, Facial Recognition, 3D Facial Animation

 

 

Plus

 

  • Experience with advanced deep learning topics is a strong plus.

  • Experience deploying the algorithms in a production environment is a strong plus.

  • Experience in the development of algorithms related to face/body landmark detection, facial expression tracking, body pose tracking or 3D facial/body reconstruction is a strong plus.