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Taboola Logo Taboola · IT - Software Development

Staff Algorithm Engineer

Israel, Tel Aviv · Job Posted January 02, 2026
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Job Description

Realize your potential by joining the leading performance-driven advertising company! As a Staff Machine Learning Scientist, you’ll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue.

Job Responsibility

  • Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models 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/engineering and cloud computing
  • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models 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

Requirements

  • M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
  • 6+ years of hands on experience with coding Deep learning / Machine learning / Reinforcement-learning / Statistical modeling based solutions
  • 4+ years Experience modeling auction dynamics in first-price environments (bid shading, market price modeling, win-rate prediction, clearing-price / floor-price estimation)
  • Strong knowledge in Python
  • Good knowledge in Java, Scala or C#
  • Experience in data analysis and visualization and strong knowledge in SQL
  • Possess strong problem solving and critical thinking skills

Nice to have

  • Deep understanding of RTB ecosystems and standards (OpenRTB), header bidding (Prebid client/server), and ad-exchange integrations
  • Hands-on experience with budgeting/pacing, frequency capping, throttling, and guardrails to meet margin/CPA/ROAS targets
  • Strong grasp of measurement and calibration (CTR/CVR calibration, eCPM modeling, lift studies) and experimentation (A/B tests, multi-armed bandits)
  • Experience in developing models using deep learning techniques and tools
  • Experience in developing software within a distributed computation framework

What we offer

  • comprehensive benefits (health, etc.)
  • fully stocked kitchen
  • location-specific perks (gym partnerships, parking)
  • hybrid work schedule with 3 days in-office with an option to come in more often if desired
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