Algorithm Engineer (RTB)

About the role

Realize your potential by joining the leading performance-driven advertising company!

As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, you’ll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. You’ll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, you’ll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.

To thrive in this role, you'll need:

- 4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production.

- MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field, with strong foundations in machine learning, optimization, and statistical modeling.

- Experience building machine learning solutions for real-time bidding (RTB), programmatic advertising, pricing, or other large-scale optimization problems.

- Strong software engineering skills in Python or Java, with experience developing production ML systems.

- Proven ability to take machine learning models from prototype to scalable, high-performance production environments.

Bonus points if you have:

- Experience building machine learning models for bid optimization, auction systems, pricing, or large-scale recommendation systems.

- Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality.

How you'll make an impact:

- Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization.

- Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.

- Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.

- Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.

- Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.

- Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

- Adam Singolda, Taboola Founder and CEO: “You can copy anything from another business but you can’t copy a company’s culture.”