Since 2006, Outbrain has been developing a content discovery platform guided by a single mission: to help people discover content that they can trust to be interesting, relevant, and timely. Today our recommendations reach hundreds of millions of users across a global list of premium media properties.
Outbrain is looking for an experienced engineer/researcher to develop and implement state of the art natural language and user modeling algorithms within its recommendations engine.
The ideal candidate should be fluent with modern statistical NLP techniques for processing textual content, including named entity recognition, clustering, classification, and topic modeling.
We are looking for a candidate who can develop solutions from ideation to full production code, building software that implements sound algorithms while being robust, scalable and delivering high performance.
Steve Strauss, The SelfEmployed.com & Senior Small Biz columnist, USA TODAY, took the Great Outbrain Challenge.Read On
We're looking for more great folks to join our team worldwide and if you're "Outbrainy," we want you.Apply now
Outbrain is happy to announce the acquisition of Visual Revenue, a union of content discovery and editorial decision support.Learn more