Deep Learning and Computer Vision - Internship - Yoobic - CDI
Fonction : RH - Formation - Recrutement
Lieu : Paris
Date de début : Non définie
Date de fin : Non définie
Rémunération : Non précisée
Description de l'offre

The role
We are looking for a talented candidate to join our Deep Learning team. This position is an opportunity to join a strong team, and build cutting edge Computer Vision and Deep Learning Algorithms. As part of your role, you will work on multiple projects involving state of the art techniques for object detection and segmentation.

What you’ll do

  • Develop practical solutions to complex problems
  • Read and implement research papers, stay up to date with state of the art Deep Learning ideas and developments
  • Adapt and improve current algorithms
  • Design and evaluate models, validate them with real world data and benchmarks


  • 99% approval rating of our CEO Fabrice Haiat and 4.7/5 culture rating (via Glassdoor)
  • Dynamic and exciting scale-up environment - you won’t be a small cog in a big machine. You own a key aspect of our business and will be making real impacts at YOOBIC
  • Strong company culture and strive to act out on our company values wherever we can
  • We’re building an amazing product that is revolutionizing in-store consumer experiences
  • We love working with state-of-the-art technologies and learning cool stuff
  • Continuous professional growth via various training programmes, LinkedIn Learning, our experienced Founders and your peers
  • Dog-friendly office with lots of social activities throughout the year
  • Competitive salary - interns get PAID!

Profil du candidat

What you’ll bring to the team

  • MSc in Machine Learning, Computer Science, or related fields
  • Familiarity with Machine Learning and Computer Vision libraries: Tensorflow, OpenCV, Scikit-Learn…
  • Ability to write clean code (mostly in Python)
  • Solid background in statistics and probability
  • Fast learner
  • Great problem solving skills
  • Good communication skills and proficiency in English

Bonus skills

  • Experience with neural network (CNN, RNN etc.) and clustering algorithms
  • Knowledge of object detection and segmentation techniques
  • Experience with cloud computing and GPU acceleration