Keenious - The new way of researching online
Be a part of creating a new type of search
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.
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 ++
This is a great opportunity if you want to have an impact on an AI product that is helping with education and research.