Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on limited hardware resources. To address this limitation, many techniques exist such as quantization and pruning. During this internship, the intern 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 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