Outbrain’s recommendation system is powered by a large scale infrastructure, based both on Cloud Infrastructure as well as bare metal infrastructure managed in our own Data Centers.
Our servers fleet consists of over 7000 physical servers, and produces over 300 Billion personalised recommendations and reaching around 800M unique users every month.
Outbrain’s AutoML team is developing a state-of-the-art Machine-Learning infrastructure which is used to research, build and deliver Machine Learning models to production.
We’re looking for an experienced SRE/DevOps/MLOps Engineer to join the AutoML team and take part in designing and building our super scalable & automated Machine learning infrastructure.
If you are:
You probably will feel at home as part of the AutoML team at Outbrain’s Recommendation group.
What are we looking for?
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.
Check below to see all of the open Outbrain jobs organised by team.
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