AdTechTalent
Data Science15 days agoHybrid

Taboola

Senior Algorithm Engineer (RTB)

machine learningdeep learningreal-time biddingRTBprogrammatic advertisingPythonJavaAI coding toolsbid optimizationprice predictionauction optimizationrecommendation systemslow-latencyhigh-throughput

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

3-5

Location

Tel Aviv, Israel

Full job description

Senior Algorithm Engineer role in Tel Aviv focused on building machine learning models for real-time bidding and programmatic advertising. Requires 4+ years experience with ML and deep learning solutions from research to production, MSc or PhD in relevant fields, strong software engineering skills in Python or Java, and experience in low-latency, high-throughput environments. Responsibilities include designing and deploying bidding models, owning ML lifecycle, analyzing auction data, collaborating with cross-functional teams, and mentoring junior engineers. Hybrid work schedule with 3 days in-office. Benefits include comprehensive well-being programs, stocked kitchen, and location-specific perks.

What you'll do

  • Design, train, and deploy real-time bidding models including 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 algorithmic improvements
  • Partner with Product, Engineering, and Business teams to transform marketplace goals into scalable solutions with measurable revenue impact
  • Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations

Requirements

  • 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
  • Strong foundations in machine learning, optimization, and statistical modeling
  • Experience building ML solutions for real-time bidding (RTB) or programmatic advertising in low-latency, high-throughput environments
  • Strong software engineering skills in languages such as Python or Java
  • Experience developing production ML systems
  • Proven ability to take models from prototype to scalable production systems serving real-world traffic

Tech stack

machine learningdeep learningPythonJavareal-time biddingprogrammatic advertisingAI coding toolsClaude CodeCursor

Benefits

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

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