Staff Machine Learning Engineer, Content Safety & Ecosystem -- Multimodality

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.



Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.



About the Team

The Responsible Recommendation System team innovates in content understanding and recommendation system techniques to improve TikTok content safety and ecosystem. We leverage cutting-edge multi-modality modeling to develop robust, scalable solutions that safeguard user experience and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.



Responsibilities - What You'II Do

- Develop a critical content understanding product by leveraging cutting-edge multi-modality models.

- Innovate on multi-modality and recommendation system techniques to build end-to-end scalable solutions.

- Collaborate with engineers from diverse technical backgrounds and cross-functional teams to integrate advanced modeling techniques into production.

- Drive data-driven improvements by conducting rigorous analysis and experiments to address complex ecosystem challenges.