We are seeking a highly skilled Machine Learning Engineer with expertise in medical imaging to play a key role in developing advanced algorithms for analyzing and interpreting X-ray images. The successful candidate will be responsible for implementing a pipeline for simulating synthetic X-ray images, as well as training and testing neural network models for image analysis tasks in surgery.

Company Overview

Torus Biomedical Solutions is a cutting-edge medical technology company dedicated to revolutionizing the field of intraoperative medical imaging. We are committed to leveraging the power of machine learning and artificial intelligence to enhance diagnostic accuracy and improve patient outcomes. As we continue to push the boundaries of innovation, we are seeking a talented and motivated Machine Learning Engineer to join our team.

Responsibilities

Implementing machine learning models to segment intraoperative X-rays to extract bone landmarks
Validating the accuracy and performance of the models based on real intraoperative X-rays
Implementing a pipeline for simulating synthetic X-ray images from CT data
Developing pipeline for processing and labeling image datasets for training and testing neural net models
Reviewing and analyzing the latest literature on medical imaging to incorporate state-of-the-art techniques
Utilizing open-source models and datasets for prototyping machine learning models

Qualifications

BSc or preferably Master's or Ph.D. degree in Computer Science, Biomedical Engineering or related field
Proficiency in computer vision and Python-based computer vision libraries such as OpenCV, scikit-image, Pillow
Strong proficiency in Python and Python-based libraries such as PyTorch, NumPy, Pandas, Scikit-learn
Familiarity with version control and software lifecycle management tools for collaborative development
Excellent problem-solving skills and ability to independently design and implement solutions
Strong communication skills and ability to work effectively in a team environment
Canadian citizenship or permanent residency status is required

Preferred Qualifications

Experience with medical imaging technologies and software
Knowledge of X-ray physics and image formation principles
Familiarity with X-ray projection principles for modeling projection, attenuation, and noise injection
Previous experience in a healthcare or medical technology industry

If you are passionate about leveraging machine learning to solve complex problems in healthcare, join us in our mission to transform the future of medical imaging and make a positive impact on patient care.

Torus Biomedical Solutions Inc.

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Machine Learning Engineer - Medical Imaging