Algorithm Engineer

Taboola, the world’s largest content recommendation platform, is hiring an Algorithm Engineer.

In this job you will:

  • Be responsible for the entire algorithmic life-cycle in the company: data analytics, prototyping of new ideas, implementing algorithms in a production environment and then monitoring and maintaining them
  • Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue
  • Work on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics and cloud computing
  • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems
  • Influence directly on the way billions of people discover the internet
  • Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more

Our tech Stack:

Python, Java, TensorFlow, Spark, Kafka, Cassandra, ElasticSearch, BigQuery, Google Cloud Platform, and Docker

About you:

  • M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
  • Strong knowledge in Python
  • Good knowledge in Java, Scala or C++
  • Familiarity with statistical modeling techniques
  • 3+ years of hands on experience with coding machine learning/statistical modeling based solutions
  • Experience in data analysis and visualization and strong knowledge in SQL
  • Possess strong problem solving and critical thinking skills

Nice to have:

  • Experience in developing models using deep learning techniques and tools
  • Experience in developing software within a distributed computation framework

Meet Some of Taboola's Employees

Jennifer B.

Team Lead, Latin American Account Management

Jennifer maintains long-lasting client relationships by regularly checking in with her accounts to ensure every campaign expectation is met—and exceeded.

Daniel W.

Video Media Analyst

Daniel works with Taboola’s video data to provide the in-depth analysis and actionable insights that company leadership requires to make big business decisions.


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