Face recognition (FR) has been the prominent bio-metric technique for identity authentication and has been widely used in many areas, such as military, finance, public security and daily life. FR has been a long-standing research topic in the CVPR community. However, there are still lots of technical challenges in realworld face recognition system.
Come and join us to improve a real-world face recognition system.
During this internship, you will focus on:

• Extensive research and implement the state-of-the-art of deep learning and face recognition.
• Improve current face recognition pipeline, from face detection to face matching.
• 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 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

• 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