Voice authentication is drawing increasing attention and becomes an attractive alternative to passwords. However, recent studies show that voice authentication is vulnerable to replay attacks, where an adversary can spoof a voice authentication system using a pre-recorded voice sample collected from the victim. During this internship, you will be working on :

• Extensive research about the state-of-the-art techniques on the topic.
• Innovative solution using the existing literature and the intern’s knowledge of machine learning.

• Pursuing an MSc / MEng degree in computer science, applied mathematics or any related technical field
• Prior experience in building and training deep learning / machine learning algorithms
• Good theoretical knowledge in 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

• 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