Algorithm Engineer (RTB)
HybridTel Aviv, Tel Aviv, Israel
Job Summary
Design and deploy real-time bidding models for bid optimization, price prediction, win-rate estimation, and auction strategy within low-latency, high-throughput environments. Own the full machine learning lifecycle from research and prototyping through production deployment, A/B testing, and monitoring. Build large-scale ML solutions serving real-world traffic and analyze marketplace data to drive algorithmic improvements. Partner with Product, Engineering, and Business teams to transform goals into scalable solutions with measurable revenue impact. Mentor junior engineers and contribute to technical design reviews. This role requires 4+ years of experience building end-to-end ML solutions, an MSc or PhD in a quantitative field, and strong Python or Java skills.
Required Qualifications
- 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
- 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, with experience developing production ML systems
- Proven ability to take models from prototype to scalable production systems serving real-world traffic
Desired Qualifications
- 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
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