Top Software Engineer Jobs

As a Staff Machine Learning Engineer at Taboola, you will oversee the complete algorithm lifecycle, develop algorithmic solutions for complex problems, and collaborate on projects like Internet Personalization and Real Time Bidding. You will apply your expertise in machine learning and big data to create impactful products that influence user engagement.

Responsible for developing and maintaining scalable machine-learning infrastructures and tools within the algo platform group. Duties include designing and optimizing machine learning systems, ensuring operational reliability, and collaborating with multidisciplinary teams. Additionally, the role involves troubleshooting, automation, and evaluating new technologies for performance improvements.

As a Senior Machine Learning Engineer at Taboola, you will oversee the algorithmic lifecycle, from data analytics and prototyping to implementation and maintenance. You'll develop algorithmic solutions for complex problems and work with cutting-edge technologies in machine learning, big data, and cloud computing, influencing how billions discover content online.

The Data Engineer at Taboola will lead the design, development, and optimization of data infrastructure, work on strategic database design, develop innovative solutions, optimize performance, provide comprehensive support, implement automation tools, and manage critical data clusters.

As a Senior Algo Data Engineer at Taboola, you will develop and maintain scalable machine learning infrastructures, manage the lifecycle of ML platforms, optimize performance, troubleshoot issues, automate processes, and collaborate with cross-functional teams to enhance systems that influence internet discovery for billions.

As a Staff MLOps Engineer at Taboola, you will develop and maintain scalable machine learning infrastructures, manage the deployment of ML models, and ensure operational reliability. You will work collaboratively with multidisciplinary teams to enhance platform performance and drive innovation in ML engineering.

The Senior MLOps Engineer develops and maintains scalable machine-learning infrastructures, ensuring high availability and reliability. Responsibilities include designing and optimizing ML platforms, managing CI/CD processes, and collaborating with cross-functional teams to enhance performance and resource utilization.