Our team is developing algorithmic and machine learning based solutions that improve outcomes for our advertisers. It is part of Outbrain’s Recommendations Group - about 40 machine learning engineers, data scientists, and backend engineers who are responsible for everything that Outbrain recommends in its feeds and widgets. The team uses an interplay of Java and Python, in addition to Kafka, Spark, Cassandra, Hive, and Tensorflow to form our ML and AutoML pipelines.
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What we offer:
Outbrain is the world’s leading discovery and native advertising feed for the open web. A third of the world’s Internet-connected population explore and discover information through our feed technology, which is trusted by emerging to established brands and integrated into thousands of media companies’ tech stacks to manage and monetize their publishing operations. Outbrain operates in 55 countries and is headquartered in New York City with offices in 18 cities worldwide.
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