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Algorithm Engineer (Recommendation) - Video Recommendation-Music
About the Team
The TikTok Music Recommendation Team is dedicated to leveraging recommendation-related technologies to continually enhance the music ecosystem of the TikTok. At the user level, we assist listeners in discovering, enjoying, and utilizing music for video creation through personalized recommendation algorithms. At the musical level, we influence and guide music trends by improving music ecosystem and refining promotional strategies, thereby amplifying TikTok's influence within the music industry.
Responsibilities
- Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for user can better discover and consume music in TikTok.
- Build industry leading recommendation systems for providing accurate music recommendations and high-quality music experience during the user's creation process, improving user's creative experience.
- Focus on building algorithms for music promotion, guiding music trends and amplifying TikTok Music's influence within the music industry.
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
- Work together with cross functional teams, such as product managers and data analysts, to grow TikTok Muisc business.
The TikTok Music Recommendation Team is dedicated to leveraging recommendation-related technologies to continually enhance the music ecosystem of the TikTok. At the user level, we assist listeners in discovering, enjoying, and utilizing music for video creation through personalized recommendation algorithms. At the musical level, we influence and guide music trends by improving music ecosystem and refining promotional strategies, thereby amplifying TikTok's influence within the music industry.
Responsibilities
- Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for user can better discover and consume music in TikTok.
- Build industry leading recommendation systems for providing accurate music recommendations and high-quality music experience during the user's creation process, improving user's creative experience.
- Focus on building algorithms for music promotion, guiding music trends and amplifying TikTok Music's influence within the music industry.
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
- Work together with cross functional teams, such as product managers and data analysts, to grow TikTok Muisc business.