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 teamThe 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.
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.
Qualification
- Master’s degree in Computer Science, Engineering, or a related field.
- Proficient in full-stack development, with experience in modern programming languages (e.g., Python, JavaScript), frameworks (e.g., FastAPI, React) and databases systems.
- Willingness to work in the healthcare industry
- Authorization to work in France
- Fluency in English, with excellent communication and teamwork skills
- Willing to come to the office (2 days remote policy)
Pluses
- Experience in an agile work environment
- Knowledge of machine learning concepts and experience integrating ML models
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Experience with cloud providers (GCP, AWS, Azure)
- Knowledge of model serving technologies (ex: ray, CUDA)) and parallelization on GPU clusters
- Experience with Radiological images (DICOM, nifti)
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 radiologists in our partner center
- 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
