Staff Machine Learning Engineer, Content Safety & Ecosystem -- Multimodality
TikTok.com
Office
San Jose, California, United States
Full Time
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
- 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.
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
- 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.
Staff Machine Learning Engineer, Content Safety & Ecosystem -- Multimodality
Office
San Jose, California, United States
Full Time
September 26, 2025