Design, deploy, evaluate, and maintain recommendation, ranking, personalization, and predictive behavior models for Taboola’s advertising platform. Build ML evaluation harnesses, automated testing frameworks, benchmarks, and guardrails. Develop data pipelines and transformations using Kafka, SQL, HDFS, Hadoop, Spark, and distributed big-data systems while collaborating with product and technical teams.

Develop and optimize large-scale generative AI products focused on content discovery, personalization, and monetization. Own the algorithmic lifecycle, including data analytics, LLM evaluation, retrieval, guardrails, tool use, router calls, hallucination reduction, and model development. Work with on-premises and external LLMs, large datasets, multilingual workflows, and production machine learning systems while influencing revenue and user experiences.

Design, train, and deploy large-scale machine learning models for bid optimization, price and win-rate prediction, CTR/CVR estimation, and auction optimization. Own the full ML lifecycle—research, experimentation, production deployment, A/B testing, monitoring, and optimization—while partnering with Product, Engineering, and Business teams and mentoring junior scientists.