The best way to start your career is to work together with some of the best and brightest minds within your field of interest. Spend an unforgettable summer as a part of our Face Technology Division, which develops cutting-edge face tracking and beauty AR technology.

  • When and where? The internship will take place in our Zagreb office (or remotely) for 6 weeks – between the end of August and the beginning of October. It is a full-time, financially compensated position that lets you experience what it feels like to be a part of a growing, successful company.
  • Who is it for? If you are a Master’s student (or you’ll become one this fall), this internship is a great chance to gain hands-on experience and collaborate with experienced engineers. We want to help you grow professionally, but also appreciate the fresh perspective and ideas you bring to the table.


Available projects:


1) A game based on emotion recognition

Visage Technologies internship

Work on introducing new features to a fun game that utilizes your facial movements, expressions and emotions to smash targets and score points. It is an exciting opportunity to code a new game logic, as well as introduce new features and graphics.

  • Prerequisites: A reasonable knowledge of C++ is required. Experience with the SDL library is a bonus.

Thank you! Applications are now closed.


2) Make-up style transfer using color-aware GAN

The realism of makeup is a common topic in the beauty AR world. GANs have revolutionized the fields of photorealistic image synthesis, image-to-image translation and style transfer. The research community is now mainly focused on controlling different aspects of image synthesis using GANs.

Join us in discovering how to use the CA-GAN model to modify the colors of a specific face area (e.g. lips) and transfer them to another image while keeping the rest of the image intact. The goal of this project is to set up a training framework with the CA-GAN model and train it in a weakly supervised manner.

  • Prerequisites: basic ML knowledge, some GAN knowledge, basic Python ML training framework knowledge (Pytorch or Tensorflow)

Thank you! Applications are now closed.