Experienced Algorithms Engineer
Posted July 7

Outbrain is a leader in recommendation technologies for the open web. We recommend millions of articles and ads per second and we’re always on the lookout for passionate and innovative individuals who are looking to help drive the best discovery experience on the web.

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.

Your 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

Your personal responsibilities are:

  • Identifying and deciding on promising research and development directions, balancing short term and long term goals
  • Implementing end 2 end machine learning algorithms from research all the way to production
  • Communication and coordination with product and business counterparts

Who you are:

  • BSc\MSc\PhD in Computer Science, Statistics, Software, Information Systems Engineering or similar or equivalent industry experience
  • Experience as a software engineer
  • Experience with deploying ML algorithms in an online production environment
  • Experience in SQL.
  • Experience in a scripting language (Python preferred).
  • Great communication and interpersonal skills

What we offer:

  • Competitive salary and great work/life balance.
  • Working fully remotely due to COVID in the foreseeable future.
  • Making a business and technical impact in a global company. The company is global, but at the same time small enough that a single person in this position can have a significant impact.
  • Stay on top of applicative research in the field, visit conferences (online and on-site when they are back) and publish research
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Arieh Regev St 6, Netanya

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