Outbrain

Our team is developing machine learning algorithmic solutions that improve outcomes for our advertisers. It is part of Outbrain’s Recommendations Group - about 40 machine learners, data scientists and machine-learning engineers who are responsible for everything that Outbrain recommends in its feeds and widgets. The team uses an interplay of Python, Java and Rust, in addition to Spark, Bigquery, and Tensorflow to form our ML and AutoML pipelines. Team’s responsibilities are: - Leverage Outbrain's rich data sources, large-scale computing resources, and proprietary algorithms to build a state of the art models to improve outcomes for our publishers and users - Implementation and integration of algorithmic feature to the high scale production system - A/B testing and monitoring of new features - Data analysis over huge datasets to validate the various hypothesis - Collaborate with the operations team to further improve our tooling and results