Computer Vision -​ Internship/Project Assistance/Master Thesis Project

ManoMotion is looking for passionate and innovative interns/project assistants or master thesis students in Computer Vision, Machine Learning, Deep Learning, Media Technology, Interaction Design or related areas. The main focus will be on research and development challenges related to 3D hand tracking and gesture analysis for smart devices and mobile platforms. 

About ManoMotion:

ManoMotion is a Deep Tech company based in Stockholm, Sweden. We are a diverse team of Computer Vision and Machine Learning Scientists and creative software engineers, specialists in stretching the borders of what is technically possible to decipher from a camera. ManoMotion brings unparalleled intuition in human-machine interactions, refined through more than 10 years of research in gesture technology with a number of inventions and international awards. We have developed a core technology framework to achieve precise hand tracking and gesture recognition in 3D-space simply using a regular camera available on any smart device!

Required skills

  • Master degree or equivalent level of experience in Machine Learning, Computer Vision, Data Science, Interaction Design, Media Technology or related areas.
  • Strong theoretical knowledge in Computer Vision, Machine Learning, Image Analysis. 
  • Experience in development of Computer Vision solutions.
  • Good coding skills and knowledge of C++/Python/OpenCV.
  • Previous experience of using deep learning tools and frameworks such as TensorFlow and Keras.
  • Self-driven problem solver with a strong sense of teamwork.

Strong Advantages

  • Industry experience in the field of computer vision applications. 
  • Previous experience in mobile development (iOS/Androis/Unity)
  • Familiar with agile software development.
  • Publications in the field of computer vision/machine learning.  


Or, know someone who would be a perfect fit? Let them know!

Stockholm

Drottninggatan 82
11136 Stockholm Directions info@manomotion.com View page

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