Senior Machine Learning Engineer, Content Safety & Ecosystem - Personalization
TikTokAbout the role
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 advanced personalization models to develop robust, scalable solutions that safeguard user experience and drive product impact.
Responsibilities
- Develop and enhance personalization models to improve user recommendations while addressing challenging issues such as long-tail distributions, sparse data, and biased objectives.
- Innovate on machine learning algorithms that power one of the most renowned recommendation systems, ensuring continuous optimization of TikTok's content ecosystem.
- Design and implement end-to-end machine learning solutions that integrate seamlessly into production, working across the entire model lifecycle from data collection and feature engineering to model deployment and evaluation.
- Collaborate with cross-functional teams and engineers from diverse technical backgrounds to translate technical innovations into tangible product improvements.
- Apply data-driven approaches and rigorous experimentation to measure, analyze, and optimize model performance.
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