Data Engineer • Staff

Who you are

You have 5+ years of experience developing large scale systems, which has equipped you with a deep understanding of the complexities involved in maintaining infrastructure reliability. Your expertise includes working with filesystems, server architectures, and distributed systems, allowing you to navigate the challenges of modern data engineering with ease.

You are highly skilled in software engineering methods, which means you can apply best practices to ensure the quality and efficiency of your work. Your passion for Machine Learning drives you to stay updated with the latest trends and technologies in the field, making you a valuable asset to any team.

Desirable

Experience with orchestration platforms like Airflow is a big plus, as it complements your existing skill set and enhances your ability to manage complex workflows. You thrive in multidisciplinary teams, collaborating with algorithm researchers, product managers, and engineers to achieve ML excellence.

What you'll do

As a Staff Algo Data Engineer at Taboola, you will play a vital role in developing, enhancing, and maintaining highly scalable Machine-Learning infrastructures and tools. You will own the existing algo platform, focusing on health, stability, productivity, and enablement, while facilitating new platform experimentation within the algo craft.

Your responsibilities will include supporting ongoing ML projects and ensuring smooth operations and infrastructure reliability. You will be involved in the design and planning, implementation, and production care of various capabilities, working closely with both the algo craft and infra group.

You will serve as the professional authority in ML engineering and ML ops, acting as a focal point for collaboration among team members. Your contributions will help drive the platformization of parts that should graduate into production scale, ensuring that the algo platform meets the highest standards of performance and reliability.

What we offer

At Taboola, you will have the opportunity to work with some of the most senior talent in the algo craft, allowing you to grow your skills and expertise in a supportive environment. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Join us in realizing your potential at a leading performance-driven advertising company, where your work will have a significant impact on our success and the success of our clients. We offer a hybrid work environment, allowing you to balance your professional and personal life effectively.