You will join the AI team as an intern to test new techniques in Deep Learning and contribute to adapt them to our use-cases, mostly linked to object detection and image segmentation. You will be part of a dedicated team that constantly watches the latest scientific papers and technological posts and implements the best solutions to improve our processes and our products.

It means that you will learn from experts in the dedicated AI team and work on state-of-the-art topics in the field of deep learning. You will also collaborate closely with our AI framework team to transform innovative and smart ideas into tools usable by everyone in the AI team. You will have the opportunity to work with both our internal business experts to understand the needs of our clients, and our data management team to access our vast database of labeled satellite images and expand it, if needed

Your tasks may include one or several of the following:

• Contribute to the monitoring of the latest advances in machine learning, especially deep learning for computer vision
• Participate in the design of experimental protocols to test cutting-edge techniques in innovative domains, such as few-shots learning, continuous and active learning, hierarchical learning or model ensembling
• Help in implementing and refining methods from scientific articles, git repositories or other publications to make them usable for our use-cases, and possibly work closely with the AI framework team to integrate them into production
• Suggest new ideas to push beyond state-of-the-art solutions
• Contributing to the specifications of our AI framework to improve the productivity of the whole AI team
• Work closely with the GIS team and business experts to understand the data available and use it in the best possible ways

We are looking for an open-minded individual with good skills and a strong willingness to learn. The skills listed below are key to be up to this challenge.

The must-haves:

• Education in the field of computer vision / deep learning
• At least one practical experience in computer vision / deep learning (can include internships, online courses or personal side projects)
• Knowledge on DL techniques, especially CNNs for Segmentation and Object Detection
• Good skills in Python
• Rigorous, creative and meticulous mind
• Willingness to take on challenges, show resiliency and like to always learn new skills

The nice-to-haves:

• Knowledge of some classical Computer Vision techniques
• Proficiency with Docker, Github
• Experience in technological monitoring and scientific papers reading
• Experience working with remote sensing images
• Experience working in a startup environment
• Experience working in a laboratory or research environment

• Call by one member of the team
• Technical Challenge
• F2F with the team