✨ About Raidium 🚀
Raidium is building a foundation model for precision medicine in radiology. Our first release, Curia, is already state-of-the-art. We aim to broadly democratize access to imaging biomarkers for both clinical and research applications through a biomarker factory. 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 Machine Learning Engineer at Raidium, you will be at the center of the cutting-edge Deep Learning technology of Raidium. This position involves:
- ML Core Contributor: Contribute to the design and refinement of Raidium’s deep learning models, developing high-performance architectures tailored for complex medical applications. You will work on a diverse range of challenges, from automatic lesion detection and semi-automatic organ segmentation to diagnostic exam classification. Your role spans the entire development lifecycle, encompassing initial modeling, seamless product integration, and contributing to scientific publications.
- Project Leadership: Act as the technical lead and Point of Contact (PoC) for specific initiatives, owning the lifecycle from initial prototyping and validation to final product integration.
- Cross-Functional Synergy: Partner with product managers, software engineers, devops engineers to translate cutting-edge research into scalable, high-impact product features.
Finally, you will work in Raidium Parisian offices (in the Cochin Faculty, next to Port Royal), but have the opportunity to spend some afternoons along with our companion center CT Scans and MRIs!
✨ You 🌟
- PhD or MSC +3 years experience in Mathematics / Computer Science / Electrical Engineering
- Solid grasp of statistics / machine learning methods / Deep Learning
- Solid grasp of Python
- A deep-seated passion for transforming healthcare and a commitment to improving patient outcomes through AI.
- Thrive in a dynamic, cross-functional role where you bridge the gap between pioneering research and agile product engineering.
- Authorization to work in France
✨ Pluses (not exhaustive) ➕
- Experience in an agile work environment
- Publication history in top-tier Machine Learning or healthcare journals
- Experience in healthcare and/or with the manipulation of radiological images
- Experience with Self-Supervised Learning, Transformers and/or Semantic segmentation and Object Detection methods and/or vision and language models
- Experience with HPC clusters and GPU-based infrastructures
We are looking for talented engineers with a strong foundation in ML. Even if you don't check every box below but are passionate about our mission, we encourage you to apply.
✨ Why Join Us? 🚀
- Have a real and positive impact on people’ 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 very 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