Nicolab is a healthcare company that seeks to connect human & artificial intelligence to revolutionize emergency care. We are looking for a talented and passionate ML Engineer I, who brings a customer-centric approach to creating healthcare products with a highly positive impact on people’s health. We believe the combination of artificial and human intelligence will revolutionize emergency care and we work each day to make that happen. Founded in 2015 as a spin-off from the Amsterdam University Medical Center, our research background continues to drive our way of thinking. We have a diverse team from all corners of the world, composed of researchers, developers and experienced medical specialists who ensure our product and services match our clients' needs. We’re first tackling the major issue of stroke, the leading cause of life-long disability, where we will ensure every patient gets the right treatment in time. Watch more here.
As our Machine Learning Engineer, you will be a crucial team member and will develop algorithms for medical imaging applications. You will work closely with other machine learning engineers to develop biomarkers for Computed Tomography images, with software engineers to deploy the models on the cloud infrastructure, and with clinical specialists to validate the algorithms. We are looking for someone who is inquisitive and eager to learn, to build AI powered medical devices that will bring positive change in the world.
Key Responsibilities
- Work with other Machine Learning Engineers to develop and maintain algorithms for stroke diagnosis, primarily on Computed Tomography images
- Research the literature, implement and modify deep learning and computer vision algorithms based on product requirements
- Collaborate with backend/cloud engineers to bring ML models into production on GCP/AWS
- Unit test development
- Design, implement, and test complex data pipelines to support training and validation of algorithms
- Create technical documentation about the algorithms and design intuitions
- Analyze and collect insights from the complex medical data