Principal AI Software Engineer

Company Overview:

• RapidAI is the global leader in using AI to combat life-threatening vascular and neurovascular conditions. RapidAI is empowering physicians to make faster decisions for better patient outcomes, leading the next evolution of clinical decision-making and patient workflow. Based on intelligence gained from over 10 million scans in more than 2,000 hospitals in over 60 countries, the Rapid® platform transforms care coordination, offering care teams a level of patient visibility never before possible. RapidAI – where AI meets patient care.




• Our mobile app is in constant use by clinical teams to coordinate the treatment of patients in hospitals across the globe. We process data for 1/2 of all stroke cases in the United States and a large number of stroke cases in other countries of the world, including Switzerland, Japan, Australia and Brazil.




• At RapidAI, we believe in leveraging cutting-edge technology and research to impact millions of lives. Our software products enhance doctors’ capabilities across hospitals worldwide to respond to and make the best decisions for patients quickly. We are looking for a high-energy employee who is excited to be at the forefront medical device software development. The successful candidate will meet the criteria defined below, and in doing so, will help deliver the best patient care to patients all around the world.

Position Duties And Responsibilities:

• Self-sufficiently, and without daily supervision, conceives, develops and implements algorithms for medical datasets analysis, including (but not limited to), CT, MR, Ultrasound, 3D rotational angiography (3D RA), for the purpose of extracting features, attributes and labels from these datasets, both on pixel/voxel level and from the data metaheaders.
•  Self-sufficiently, and without daily supervision, conceives, develops and implements algorithms that statistically evaluate features, attributes and labels from large number of datasets, and presents the statistical summaries.
• Self-sufficiently, and without daily supervision, conceives, develops and implements algorithms based on machine learning, artificial intelligence and deep learning, with the aim to extract features, attributes and labels from the medical imaging datasets and related metaheaders and clinical records.
• Self-sufficiently, and without daily supervision, based on established workflows and regulations, conceives, develops and implements algorithms with the aim to verify and validate results of other algorithms and image-processing modules developed at RAPID.AI.
• Self-sufficiently, and without daily supervision, creates and reviews technical and scientific documentation directly or indirectly related to the algorithms and image-processing modules developed at RAPID.AI.
• Self-sufficiently, and without daily supervision and in cooperation with other teams, develops algorithms and statistical models that report, analyze and validate performance and accuracy of algorithmic methods and image-processing modules developed at RAPID.AI.
• Within specific tasks and tasks assigned, provides training, education and supervision of other RAPID.AI employees and team members, by creating documents, presentations and reports, and helps supervising more junior members of the algorithm team in their assignments.
• Supports team members of RAPID.AI in deployment, regular use and troubleshooting of algorithms and image-processing modules developed at RAPID.AI.

Education, Experience And Qualification:

• Master’s degree or equivalent, in Computer Science, Bioengineering, Electrical Engineering, Physics, Theoretical or Applied Math or related engineering fields.
• Total 17+Yrs and6+ years of experience with algorithm development (employee participation in a PhD program in engineering fields directly related to the medical software algorithm development counts towards the years of experience).