Verified from career page · Posted 5mo ago

Raidium

Senior Full-stack Software Engineer

Raidium · R&D

Paris

Senior Still listed after 5 months

Full stackDatadog

Last seen 6d ago

Posted
5mo ago

Posted on 9 April 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

About the company

Raidium is building a foundation Model for precision medicine in radiology. Our first release, Curia is already state of the art. Our model is embedded in a new type of solution for the radiologist that enables a revolutionary AI-native workflow. Thanks to a 16M€ seed round raised in November 2024, Raidium is expanding its team.

 

The team

The founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields.

Paul Herent, CEO, is a radiologist and former interne des hôpitaux de Paris, with a Cogmaster (ENS) and PSL background, and has published pioneering research on deep learning in radiology. 

Pierre Manceron, CTO, is a Centrale Paris engineer specialized in Applied Mathematics and Machine Learning, who previously led machine learning projects at Owkin. 

Sebastian Schwarz, COO, holds a double degree in X-HEC Data Science & Business, who previously worked as a Strategy & Operations Director at Owkin, where he developed Owkin’s strategic vision and operational agency.

Our team brings together strong academic foundations (Polytechnique, Ponts, MVA) and deep medical, AI, and business experience from leading medical and tech companies such as Owkin, Cardiologs, Datadog, and Meta, all united by a mission to revolutionize radiology through cutting-edge technology.

The role 

As a Full-stack Software engineer at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models.

Design, implement, and maintain both front-end and back-end components of Raidium product, involving serving ML models and manipulating radiological images

Collaborate with ML Engineers to integrate advanced ML/Deep Learning models into the platform, ensuring the system is highly accurate and efficient.

Build the infrastructure and pipelines to support rapid growth in users and data volume without compromising performance.

Enforce the best practices to ensure code quality and system soundness: automatic testing, linting, typing…

You will work with the R&D team, composed of Software engineers and ML Engineers and you will be managed by Alexandre Blondin, our Lead Software Engineer.

About Raidium

Raidium builds AI foundation models for medical imaging. A French startup in Paris.

Apply at Raidium

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