
Taboola
Open Positions at Taboola
9 open positions
Build and deploy large-scale machine learning models that optimize Taboola’s real-time advertising auctions and marketplace outcomes. This senior role spans ML research, experimentation, production deployment, and optimization in a high-throughput environment.
Build and productionize machine learning models that optimize real-time bidding and billions of daily advertising auctions. This senior role combines research, experimentation, and large-scale engineering to improve advertiser performance, publisher revenue, and marketplace efficiency.
Build and evolve Taboola’s high-scale recommendation advertising experiences as a Full Stack Engineer, owning features from design through production. You’ll develop backend services and client-side experiences while using AI-powered tools to accelerate engineering work.
Frontend Engineer in Taboola’s Taipei office building responsive web applications and AI agent solutions used by advertisers worldwide. The role combines React-focused frontend development with testing, API work, and cross-functional ownership from inception through production.
Senior Software Engineer building highly scalable backend infrastructure for Taboola’s real-time advertising and dynamic creative optimization platform. The role handles massive request and data volumes while shaping systems that power intelligent marketplace decisions.
Build and deploy machine learning models that optimize billions of real-time advertising auctions. This role takes ML solutions from research through production to improve bidding, pricing, win rates, and marketplace performance.
Lead the Bidding Strategies Algo team in designing and optimizing real-time bidding strategies at massive scale. This role combines mathematical modeling, control theory, algorithm engineering, and team leadership to improve advertiser ROI.
Senior Site Reliability Engineer responsible for scaling and operating high-availability hybrid infrastructure across on-premises, public cloud, and AI/ML Kubernetes environments. The role combines deep Linux troubleshooting, infrastructure automation, observability, and incident response.
Build and productionize machine learning models that optimize billions of real-time advertising auctions. This senior role spans research, experimentation, deployment, and optimization across bid strategy, pricing, and marketplace performance.