Keenious

At Keenious we are helping students and researchers around the world with their important work by finding relevant research to what they are working on. We do this this by analyzing the users' document with self-developed advanced machine learning algorithms and then display a list of highly relevant research articles right next to their document. Currently, we support Word and Google Docs (as addons but its really just a single page webapp), and the tool is available for free testing on both platforms. We have partnerships with several large universities and we just raised our seed stage. We are now expanding into a fully remote team and are actively recruiting and hiring for two key remote positions: - Machine Learning Engineer - Head of Search: You will have responsibility and ownership of the search engine itself. You will work on creating and developing new machine learning models as well as implement new functionality to our system, such as a collaborative filtering recommendation system. - Full Stack Engineer - Product development - You will architect and develop the user system as well as implement new functionality directly into the tool itself. You will also work tightly with the rest of the team on talking with user and conceptualizing and implementing new features based on feedback and ideas. Our stack: TypeScript, React, Redux, NodeJS, AWS, Python, Docker microservice containers, PyTorch, Gensim ++ If these positions seems interesting to you or you have any questions please reach out to me at frode (at) keenious.com or apply at.