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 Senior Machine Learning Engineer at Raidium, you will be a driving force in translating our cutting-edge Deep Learning research into tangible medical applications. This pivotal role will see you :
- Models: Contributing to developing and optimizing Raidium's deep learning models specifically for medical applications, ensuring seamless integration within our product ecosystem.
- Between Research and Product: Collaborating closely with other teams, including other ML engineers and researchers, software engineers, and product managers, to bridge the gap between research breakthroughs and robust product features.
- Management: Mentoring junior team members.
- Leadership: Taking ownership of key projects, such as collaborations in MRI neuroradiology, from model development and validation studies to integration into Raidium's product.
Finally, you will work in Raidium's Parisian offices (at the Cochin Faculty, next to Port Royal), with opportunities to spend some afternoons at our partner centers with CT Scans and MRIs!
- PhD or MSc + 3 years experience in Mathematics / Computer Science / Electrical Engineering.
- Proficiency with statistics and machine learning methods.
- Proficiency with Deep Learning and Computer Vision algorithms.
- Proficiency with Python.
- Willingness to work in the healthcare industry.
- Willingness to engage in a very transversal role involving cutting-edge research, agile engineering, and development.
- Authorization to work in France.
Pluses (not exhaustive):
- Experience in healthcare and/or with manipulation of radiological images.
- Publication record in top-tier Machine Learning or healthcare journals.
- Experience with Self-Supervised Learning, Transformers, Semantic segmentation, and Object Detection methods.
- Experience with HPC clusters and GPU infrastructures.
- Experience in an agile work environment.
- Having a positive impact on people's lives.
- Applying and improving the latest Deep Learning technologies to build an inspiring product.
- Interacting with radiologists at our partner centers.
- Being among the first employees of Raidium.
- Working with a team of internationally recognized experts.
- Collaborating with a diverse team of engineers and medical doctors.
- Access to premium computing hardware.