Senior Machine Learning & Computer Vision Engineer

Scortex is hiring!


Scortex deploys artificial intelligence in the heart of factories. We help our customers take the next big leap in smart automation thanks to our Quality Intelligence Solution.

Our platform enables manufacturing companies to take control over their quality:

  1. Automate complex visual inspection tasks at any stage of the manufacturing process
  2. Monitor key quality data through innovative dashboards
  3. Improve the production process by consolidating production knowledge

Scortex is the next evolution of the quality control.

Find below some press articles related to Scortex (French content):

AI for visual inspection, Techniques de l'ingénieur
Scortex is a founding member of the AI Factory with Microsoft & INRIA @ Station F
Interview of Scortex's CEO: Aymeric de Pontbriand

What you will do

As a proactive member of the machine learning and computer vision team, your work will include a varied range of challenges:

  • explore various state of the art techniques to help solve tasks currently unbeaten by computers;
  • stay on the bleeding edge of research and participate actively in the community;
  • design, develop and implement supervised and unsupervised models with extremely constraining requirements not only on accuracy, but also on real-time execution, fast and scalable training processes and minimal annotation levels;
  • help improve our pipelines of data acquisition, training and inference.

What we are looking for

  • The candidate should justify of an experience with Machine learning in production or a few years in the field
  • In-depth knowledge of deep learning techniques applied to computer vision: deep convolutional networks, autoencoders, image (pre)processing, regularization;
  • Proficient knowledge of both supervised and unsupervised machine learning techniques : clustering, object detection, generative models, dimensionality reduction;
  • Understanding of standard computer vision techniques : filtering, transformations, descriptors and detectors;
  • Knowledge and understanding of the mathematics underlying all of the above : probability and statistics, optimization, linear algebra, numerical computation;
  • Proven experience with at least one machine learning framework (bonus points for Keras or Tensorflow);
  • Good programming and software engineering skills;
  • Experience with the unix environment.

Additional Information

  • Contract type: Full-Time
  • Location: Paris, France (75013)
  • Education Level: Master's Degree