AdTechTalent
Data Science17 days agoHybrid

Taboola

R&D Team Leader, Algorithms (RTB)

machine learningdeep learningreal-time biddingRTBprogrammaticPythonJavaA/B testingalgorithm engineeringleadership

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Lead

Years experience

5-10

Location

Tel Aviv, Israel

Full job description

R&D Team Leader, Algorithms role in Tel Aviv office. Lead development of large-scale machine learning solutions for real-time bidding optimizing billions of daily auctions. Manage a team of algorithm engineers and drive technical direction of bid optimization, price prediction, and marketplace efficiency models. Requires 6+ years in ML and deep learning solutions, 2+ years managing teams, MSc or PhD in relevant field, experience in production ML systems in low-latency environments, RTB and programmatic advertising experience, and strong Python or Java skills. Responsibilities include leading team, defining technical roadmap, owning ML lifecycle, designing deep learning models, collaborating with cross-functional teams, and driving technical standards. Hybrid work schedule with 3 days in-office. Benefits include comprehensive regional well-being programs, stocked kitchen, and location-specific perks.

What you'll do

  • Lead, mentor, and grow a team of algorithm engineers
  • 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 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
  • Drive technical standards, experimentation methodologies, and engineering excellence across the organization

Requirements

  • 6+ years of experience 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 related field
  • 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 Python or Java
  • Experience taking models from research and prototyping through production

Tech stack

machine learningdeep learningPythonJavareal-time biddingprogrammatic advertisingA/B testing

Benefits

Comprehensive benefits and well-being programs tailored to the regionFully stocked kitchenLocation-specific perksHybrid work schedule with 3 days in-office and option for more

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