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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:
- 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.
- 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 companion 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’ 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
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