Senior Algorithm Engineer, Recommendations

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

As a Senior Algorithm Engineer on the Algorithms team in our Tel Aviv office youll play a vital role in building intelligent recommendation systems that shape how billions of users discover content across the open design and evolve large-scale deep learning models that power personalization content recommendations and user engagement. Working at the intersection of machine learning data and engineering youll take models from research and experimentation through production creating solutions that directly impact user experience publisher revenue and marketplace performance.

To thrive in this role youll need:

• 4 years of experience building deep learning and machine 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 deep learning and statistical modeling.

• Experience building large-scale deep learning recommendation systems including areas such as retrieval ranking embeddings or personalization.

• Strong software engineering skills in languages such as Python or Java with experience developing production ML systems.

• Proven ability to take models from prototype to scalable high-performance production environments.

Bonus points if you have:

• Experience with modern recommendation architectures such as two-tower models sequence models or transformers.

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

How youll make an impact:

• Design train and deploy deep learning models for recommendation systems including candidate generation ranking CTR/CVR prediction and user intent modeling.

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

• Build and evolve large-scale models that serve low-latency high-throughput production traffic.

• Analyze user behavior and engagement data to identify opportunities for algorithmic improvements.

• Partner with Product Engineering and Business teams to translate product goals into scalable ML solutions with measurable impact.

• 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 theyll tell you that theyve been empowered to realize their full potential while growing and learning from and with smart and talented people. Theyll also share more about:

Adam Singolda Taboola Founder and CEO says:
You can copy anything from another business but you cant copy a companys culture.

Well-being: Enjoy comprehensive benefits and well-being programs tailored to the region 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 Condé 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 Taboolas 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 Taboolas technology to grow audience and revenue enabling Realize to offer unique data specialized algorithms and unmatched scale.

#LI-DN1
#LI-Hybrid