STAGE Amélioration des algorithmes d'Object Detection

Date de mise à jour de l’offre

Gleamer :

Société développant des outils d'intelligence artificielle pour les radiologues

Description de la mission

Gleamer develops state-of-the-art Artificial Intelligence algorithms to make a transformative impact
in healthcare.
Our first product is an AI-based diagnosis workstation for radiologists to improve their reliability and
productivity. We use cutting-edge deep learning algorithms to help radiologists quickly detecting
abnormalities in X-rays with very high sensitivity. Our algorithms aim to prevent most of missed
lesions and pathologies while permitting radiologists to spend more time with their patients.
At Gleamer, you’ll find a dynamic team with a strong company culture. We believe that our team will
be the major asset to achieve the profound challenges we address. Alongside this, we have raised
1,5M€ with top-tier investors, including Elaia Partners and XAnge. We also benefit from the
stimulating incubator Agoranov in the heart of Paris.
We are looking for a passionate and talented AI Scientist with strong expertise in deep learning
applied to computer vision. Most critically, we believe that an acute critical spirit is an imperative, as
far as you’ll be working on data and algorithms that will eventually impact millions of people. We lay
great importance on the ability to communicate and being independent, as you will be implied in a
quickly growing structure, working closely with research engineers, doctoral researcher, developers,
and medical doctors.
In this research-oriented internship, the intern will strive to enhance the existing multitask learning
pipeline. During the application process, discussions with the candidate should result in the
establishment of one or several supervision signals that could improve the anomaly detection model.
Once settled on the nature of said signals, Gleamer will create a dataset with the corresponding
annotations, so that the intern can experiment quickly with his ideas upon his arrival. Additionally,
the intern will also be able to play with the metadata that comes with the considerable dataset of
annotated radiographs that our anomaly detection model is trained with.

Profil recherché

- Research, design, implement and iteratively enhance state-of-the-art deep learning
approaches, including object detection, multitask learning and transfer learning.
- Address the core problem of detecting a wide variety of lesions and pathologies.
- Stimulate consideration on good labeling practices, with the ultimate aim to enhance
- Work in a close collaboration with expert medical doctors, AI doctoral researcher and
research engineers to elaborate the best algorithmic solutions suited for real-world medical
- Being infused with ambitious long-term research goals to achieve transformative impact on
healthcare through AI.

Niveau de qualification requis

Bac + 4/5 et +
  • Employeur
  • Secteur d’activité de la structure
    Santé - Social - Citoyenneté - Sécurité
  • Effectif de la structure
    De 0 à 10 salariés
  • Type de stage ou contrat
    Stage pour lycéens et étudiants en formation initiale
  • Date prévisionnelle de démarrage
  • Durée du stage ou contrat
    Plus de 4 mois et jusqu'à 6 mois
  • Le stage est-il rémunéré ?
  • Niveau de qualification requis

    Bac + 4/5 et +
  • Lieu du stage
    96 bis Bd Raspail
  • Accès et transports
    Metro Ligne 4