Senior Machine Learning Engineer

il y a 2 semaines

Paris, Île-de-France Raidium Temps plein 60 000 € - 120 000 € par an
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: Mentor Junior members of your team - Learderhip: Taking ownership of a key projects, for example, a collaboration project in MRI neuroradiology, from models and validation studies prototyping to the integration in Raidium's product
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
  • PhD or MSC +3 yearss experience 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 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 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

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