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 by analyzing the users' documents with self-developed advanced machine learning algorithms and then we display a list of highly relevant research articles right next to their document.
This requires having machine learning models of high quality that can properly analyze the users' documents because we know it doesn't matter how nice our application looks if the search results aren't useful. We are focusing 100% on being of the forefront of this type of search and to achieve that we are looking for a machine learning engineer whose responsibility will be to take what we have developed so far and expand and innovate on it.
We’re looking for someone with a strong background or interest in building successful products or systems; you’re comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and you’re comfortable learning new technologies and systems.
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 recommendations based on a user's liked articles.
You will work on:
We're looking for:
Nice to haves:
It’s not expected that you’ll have deep expertise in every dimension above, but you should be interested in learning any of the areas that are less familiar.
Benefits and compensation:
If our product makes you think “where was this when I was a student?!”, and you want to develop the main part of the technology that makes it a reality, then don’t hesitate to apply!
Note: We only accept communication through this application. Please do not contact us using any other means. Thank you.