About the role
Realize your potential by joining the leading performance-driven advertising company!
As a Senior ML Engineer on the Matchmaking and Marketplace R&D unit in our Tel Aviv office, you’ll play a vital role in building machine learning models that power Taboola’s real-time auctioneer and optimize billions of daily auctions. You’ll design and evolve large-scale ML solutions that drive advertiser bids and expected outcomes for advertisers, publishers and Taboola itself. 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.
- 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.
- Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality.
Bonus points if you have
- Experience in the recommendation system domain
How you'll make an impact
- Design, train, and deploy machine learning models for CTR/CVR/value prediction
- 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.”
- Well-being: Competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
- Flexibility: We offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired.
- Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
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