Kalido exists to help create a world where people and organizations can maximize potential through a global community of valued connections and opportunities. Kalido has to tackle a number of unique, challenging NLP problems unsolved by off-the-shelf models: meaningful connections require understanding human preferences and interests in more sophisticated ways than keyword matching, so we delve into cutting-edge NLP research to find effective techniques. Additionally, we gather large amounts of interaction data from our users which should be used to drive a better experience for them. We are looking for a talented and impact-oriented Data Scientist excited about NLP challenges to join us.
In this role, you will work with our ML Engineers to build and curate the foundations upon which all our data and insights rest, and also shape the company, and our collective ability to impact the world. You will extend our skill-matching and recommendation engines, build new models to enable insightful chat/media/document mining, summarisation, and identify mechanisms to support more inclusive group discussions. To achieve this, you will explore and apply the latest publications and models (e.g. latest representation learning). Everyone on our team is a true product owner, responsible for ensuring excellence and we move fast (but thoughtfully). You’ll also be able (and encouraged) to publish the results of any work you do that is not commercially sensitive.
As part of a startup, your responsibilities will vary, but on a day to day basis, you will:
We value inclusion, impact, transparency, generosity, and teamwork. You can read more about our values and what they mean to us. We are looking for someone who: shares our philosophy; is capable and excited about the role; strives for personal and professional excellence; and wants to make a meaningful difference through their work.
If being an NLP Data Scientist at Kalido sounds like something that leverages your skills and ignites your passion, we want to get to know you. Drop us an email with your CV (including a link to your portfolio) and a cover letter, addressed to Martyna at email@example.com, or apply online today: