To secure its facial authentication process, Unissey has developed a liveness detection technology, that is able to detect any fraud attemps with only a short selfie video of one’s face. Our liveness detection algorithms discriminate between genuine users (i.e. users physically in front of their camera) and presentation attacks (i.e. artefacts that are presented to the camera to subvert the system and mimic the facial attributes of the person enrolling). Attacks can be made from printed photos, videos shown on high-res screens or even 3D masks of someone’s face.

As an intern, you will be working on :

• Implementing state-of-the-art deep learning algorithms, basing yourself on extensive research of the existing literature and your knowledge of machine learning.
• Optimizing current algorithms, by applying compression techniques to limit the size and inference time or Unissey’s models.
• Developing techniques that mitigate bias to help Unissey building a fairer AI that works equally well for everyone.

• Pursuing an MSc / MEng degree in computer science, applied mathematics or any related technical field.
• Prior experience in building and training deep learning algorithms.
• Good theoretical knowledge in computer vision, neural networks, and other DL techniques.
• Excellent coding skills in python (experience with pytorch is a plus).
• Great sense of initiative, autonomy and scientific rigour.
• Curiosity and a strong interest for DL/ML topics and the latest scientific breakthrough.
• Proficiency in English (ability to quickly read and understand research papers).
• Prior experience with Git and collaborative tools is a plus.
• Personal side projects or Kaggle competitions are a plus

Details :

• Duration : 6 months.
• Salary : according to profile and past experiences.
• Location : 4 rue du Caire, 75002 Paris.
• Start date : March 2022.

Quick screening call.

Technical test, to be completed at home.

Final interview, including a technical part, and a meeting with different members of the R&D team to evaluate your motivation / cultural fit.