The Machine Learning Engineer for E-commerce Feed Recommendation at TikTok will focus on developing large-scale recommendation algorithms for live-streaming and short video e-commerce. This role involves designing predictive models, improving user shopping experiences, and utilizing machine learning techniques to address various business challenges.

Engage clients by cultivating strategic partnerships, applying digital advertising expertise to enhance campaign performance and drive revenue growth through data-driven strategies and proactive insights.

The Research Scientist Graduate will join the TikTok Recommendation team to advance large-scale recommender systems that enhance personalized content discovery and user experiences. This role involves developing cutting-edge models using advanced machine learning techniques to optimize recommendation accuracy and user engagement for billions of users.

Collaborate with cross-functional teams to drive U.S. immigration compliance, risk management, and operational enhancements within TikTok's Corporate Services, ensuring alignment with business goals and strategic workforce transitions.

Engage with industry leaders to drive business success through strategic partnerships, leveraging data insights to optimize account performance and foster collaboration across teams in the dynamic landscape of digital advertising.