Machine Learning Research Developer

2 months ago


Calgary, Alberta, Canada Circle Cardiovascular Imaging Full time

Job Overview:

Circle Cardiovascular Imaging is seeking a highly skilled software R&D engineer/scientist to join our team in the field of medical image processing and machine learning. The ideal candidate will be passionate about pursuing innovative ideas, strong at solving complex problems, and willing to challenge the status quo to create remarkable solutions.

Main Responsibilities:

  • Design, develop, and deploy advanced machine learning-based image processing algorithms to improve medical image analysis.
  • Collaborate with a team of software developers to design and develop medical image post-processing software, ensuring high-quality and efficient solutions.
  • Work closely with regulatory and quality assurance engineers to develop software that meets industry standards and regulations.
  • Partner with scientific advisors and physicians to develop algorithms that address clinical challenges and improve patient outcomes.

Required Skills and Experience:

  • Strong theoretical knowledge of mathematical foundations and evaluation methods of modern machine learning systems and techniques.
  • Proficiency in programming languages such as Python, TensorFlow, or PyTorch, with experience in Linux and Windows command line interfaces.
  • Experience with high-dimensional images and geometric data, as well as C++ programming.
  • Excellent communication skills to effectively convey ideas to various stakeholders.

Desired Skills and Experience:

  • Experience with DICOM images (MR and CT) is considered an asset.
  • Peer-reviewed publications in top-tier machine learning or medical image analysis conferences/journals are highly valued.
  • Experience with version control tools and Agile development methodologies is an asset.
  • Knowledge of QT, OpenGL, and OpenCV is considered an asset.
  • Experience in the medical imaging software industry is highly valued.

Education Requirements:

  • A Master's or Ph.D. in Engineering, Applied Mathematics, or Computer Science is required.


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