Junior Machine Learning Engineer

Raidium; Paris; Sur place; EUR 100 000 - 125 000; Plein temps

Résumé du poste

Raidium recherche un ingénieur en apprentissage automatique passionné pour rejoindre son équipe à Paris, travaillant à la pointe de la technologie Deep Learning pour le secteur médical. Ce rôle implique la recherche, le développement et l'intégration de modèles dans une solution innovante, et offre des opportunités de publication scientifique. Vous rejoindrez une équipe pluridisciplinaire et contribuerez à des projets ayant un impact important sur la santé.

Prestations

Impact réel sur la vie des personnes

Accès à du matériel informatique premium

Équipe reconnue internationalement

Environnement de travail agile

Opportunité de publication scientifique

Qualifications

• Connaissance approfondie des méthodes de statistiques et d'apprentissage machine.
• Expérience avec Deep Learning et algorithmes de Vision par ordinateur.
• Autorisation de travailler en France.

Responsabilités

• Contribuer au développement et à l'optimisation des modèles d'apprentissage profond.
• Intégrer les algorithmes avancés directement dans le produit Raidium.
• Collaborer avec des équipes diverses pour créer des fonctionnalités robustes.

Connaissances

Statistiques

Méthodes d'apprentissage machine

Deep Learning

Vision par ordinateur

Python

Formation

MSC en Mathématiques / Informatique / Génie Électrique

Description du poste

Raidium develops a radiological foundation model as the “GPT” of radiology (manifesto). This new generation of AI will enable the building of an imaging biomarker factory for both clinical practice and research, tackling the complexity of precision medicine.

As a Machine Learning Engineer at Raidium, you will be a driving force at the center of our cutting-edge Deep Learning technology, implementing and translating groundbreaking research into tangible medical applications. This pivotal and highly transversal role involves:

1. Deep Learning Research & Modeling: Contributing to the development and optimization of Raidium's deep learning models, specifically enhancing our Computer Vision algorithms for medical applications. You will be instrumental in improving and refining these models.
2. Integration of the models into the product: Implementing these advanced algorithms directly into the Raidium product, ensuring seamless integration within our product ecosystem.

This is a transversal role that bridges Research and Product: Collaborating closely with a diverse team, including other ML engineers and researchers, front-end engineers, medical doctors, and product managers, to bridge the gap between research breakthroughs and robust, global product features. You will be a key player in building the overall product through agile methodologies.

You'll also have the opportunity to contribute to scientific publications. We believe in sharing our advancements with the broader medical and AI communities. You'll be encouraged to author and co-author papers, showcasing your impactful work on our cutting-edge deep learning models and their applications in radiology.

We've recently contributed to research, particularly in interactive organs and lesions segmentation, and we have more research on the horizon.

Finally, you will work in Raidium Parisian offices (in the Cochin Faculty, next to Port Royal), but have the opportunity to spend some afternoons with our partner center CT Scans and MRIs!

You

• MSC in Mathematics / Computer Science / Electrical Engineering
• Proficiency with statistics/machine learning methods
• Proficiency with Deep Learning and Computer Vision algorithms
• Proficiency with Python
• Willingness to work in the healthcare industry
• Willingness to have a very transverse position involving cutting-edge research, as well as agile engineering and development
• Authorization to work in France

Pluses (not exhaustive)

• Experience or projects in healthcare and/or with the manipulation of radiological images
• Publication history in top-tier Machine Learning or healthcare journals
• Experience with Self-Supervised Learning, Transformers and/or Semantic segmentation and Object Detection methods
• Experience with HPC clusters and GPU-based infrastructures
• Experience in an agile work environment

Why join us

• Have a real and positive impact on people’s lives
• Apply and improve the latest Deep Learning technologies to build an inspiring product
• Be in contact with real radiologists in our partner center
• Be among the first employees of Raidium
• Work with a team of internationally recognized experts
• Work with a diverse team of engineers and medical doctors
• Competitive salary
• Access to premium computing hardware