Machine Learning Engineer

TLDR

Create new ways to apply deep learning to solve clinical problems while contributing to cutting-edge MRI technology and academic publications.

How you’ll make an impact

Creating new ways to apply deep learning to solve everyday clinical problems
Image acquisition
Reconstruction
Post-processing and analysis
Designing and implementing algorithms with real-time feedback for the technician and patient
Educating team members with your expertise while also learning from their experience
Contributing to academic publications and attending conferences such as RSNA, ISMRM, SCMR, NeurIPS, CVPR

Useful experience

Thorough knowledge and demonstrable experience in deep learning with TensorFlow, PyTorch, or Keras
Industrial or academic experience in software development, medical imaging, and signal processing
Ability to stay up to date with the latest research papers
Ability to create high quality code and familiarity with Agile development, code-reviewing, Python, C++, Linux, Git
Master’s or Ph.D. in a relevant area

What we offer

All your information will be kept confidential according to EEO guidelines.