Realize your potential by joining the leading performance-driven advertising company!
As an R&D Team Leader, Algorithms on the Algorithms team in our Tel Aviv office, you’ll play a vital role in shaping the future of real-time bidding by leading the development of large-scale machine learning solutions that optimize billions of daily auctions. You’ll lead a team of algorithm engineers while driving the technical direction of models that power bid optimization, price prediction, and marketplace efficiency. You’ll combine deep technical expertise with leadership to turn complex modeling challenges into scalable production solutions that directly impact advertiser performance and publisher revenue.
To thrive in this role, you'll need:
6+ years of experience building machine learning and deep learning solutions end-to-end, including 2+ years managing data science, research, or algorithm engineering teams.
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 and deploying production ML systems in large-scale, low-latency environments.
Experience with real-time bidding (RTB) and programmatic advertising systems.
Strong software engineering skills in languages such as Python or Java, with experience taking models from research and prototyping through production.
Bonus points if you have:
Experience building large-scale deep learning 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:
Lead, mentor, and grow a team of algorithm engineers, supporting their technical and professional development.
Define the technical roadmap for real-time bidding models, including bid optimization, price prediction, win-rate prediction, and auction optimization.
Own the full machine learning lifecycle, from research and experimentation through production deployment, A/B testing, monitoring, and optimization.
Design and evolve deep learning models serving high-throughput, low-latency production traffic.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable algorithmic solutions with measurable impact.
Contribute to algorithmic leadership practices by driving technical standards, experimentation methodologies, and engineering excellence across the organization.
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 says:
"You can copy anything from another business but you can’t copy a company’s 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, 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.
#LI-DN1
#LI-Hybrid
Skills Required
- 6+ years building machine learning and deep learning solutions end-to-end
- 2+ years managing data science, research, or algorithm engineering teams
- MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field
- Experience building and deploying production ML systems in large-scale, low-latency environments
- Experience with real-time bidding (RTB) and programmatic advertising systems
- Strong software engineering skills in Python or Java, with experience taking models from research through production
- Experience building large-scale deep learning recommendation systems
- Experience using AI coding tools (e.g., Claude Code or Cursor) to accelerate development
What the Team is Saying
Taboola Compensation & Benefits Highlights
-
Parental & Family Support — Parental leave includes 26 weeks of paid time for primary caregivers, tenure-based time for secondary caregivers, and a phased return at full pay. Childcare support, adoption assistance, and family-focused events are additionally cited.
-
Healthcare Strength — Core coverage spans medical, dental, vision, and mental health, with inclusive options such as gender-affirmation care in the U.S. FSAs and related health programs are also part of the package.
-
Leave & Time Off Breadth — Time off is framed as flexible or unlimited PTO in U.S. roles alongside paid parental leave. This breadth of leave is positioned to support work-life balance across teams.
Taboola Insights
What We Do
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.
Why Work With Us
What sets Taboola apart? Our culture. We combine the massive data scale of a global ad-tech powerhouse with a culture anchored in empathy, non-linear growth, and trust-first flexibility. If you're looking to tackle complex AI challenges alongside brilliant, supportive peers—while being valued as a whole human being—your next chapter starts here.
Gallery
Taboola Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Taboola offers flexibility and the ability to work remotely two days a week with three days in-office.
