Senior Machine Learning Engineer

✨ Raidium: The GPT of Radiology ✨

Raidium is developing a radiological foundation model, aiming to be the "GPT" of radiology. This next-generation AI will power an imaging biomarker factory for both clinical practice and research, addressing the complexities of precision medicine.

🚀 Senior Machine Learning Engineer at Raidium 🚀

As a Senior Machine Learning Engineer at Raidium, you will be instrumental in transforming our cutting-edge Deep Learning research into practical medical applications. This key role involves:

• Models: Contributing to the development and optimization of Raidium's deep learning models for medical applications, ensuring seamless integration into our product ecosystem.
• Bridging Research and Product: Collaborating closely with other teams, including ML engineers, researchers, software engineers, and product managers, to connect research breakthroughs with robust product features.
• Mentorship: Guiding and mentoring junior members of your team.
• Leadership: Taking ownership of significant projects, such as a collaboration in MRI neuroradiology, from model prototyping and validation studies to integration into Raidium's product.

You'll be based in Raidium's Parisian offices (in the Cochin Faculty, near Port Royal), with opportunities to spend afternoons at our companion center, working with CT Scans and MRIs!

🌟 You 🌟

• PhD or MSc + 3 years of experience in Mathematics, Computer Science, or 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 embrace a versatile role, encompassing cutting-edge research, agile engineering, and development.
• Authorization to work in France.

💡 Pluses (not exhaustive) 💡

• Experience in healthcare and/or with radiological image manipulation.
• 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 💖

• Make a real and positive impact on people's lives.
• Apply and enhance the latest Deep Learning technologies to build an inspiring product.
• Engage directly with radiologists at our partner center.
• Be among the very first employees at Raidium.
• Collaborate with a team of internationally recognized experts.
• Work with a diverse team of engineers and medical doctors.
• Competitive salary.
• Access to premium computing hardware.