
Video Recommendation Systems Engineer
3 days ago
Job Title: Video Recommendation Systems Engineer
About the RoleThe Video Recommendation Team is responsible for developing personalized recommendation algorithms for hundreds of millions of global users. Collaborate with top algorithm engineers to leverage expertise in deep learning, recommendation algorithms, and large models to enhance the TikTok user experience and content ecosystem.
Key Responsibilities- Develop transaction recommendation algorithms for international local services.
- Collaborate with the team to build an industry-leading recommendation system.
- Accurately recommend local service products to hundreds of millions of global users, increasing transaction volume, and enhancing the user transaction experience.
- Mastery of core algorithms related to recommendations, with a deep understanding of machine learning, deep learning, and LLM algorithms applied in video, live streaming, geographic location, and product recommendation systems.
- Optimize recall strategies, model architectures, and multi-objective optimization mechanisms to improve recommendation efficiency and accuracy.
- Familiarity with industry knowledge and conduct in-depth analysis of the characteristics of the local services industry.
- Strong problem analysis and solving skills, along with strong communication abilities and a collaborative team spirit.
TikTok offers a dynamic and inclusive work environment that inspires creativity and brings joy. With a global, diverse team, you'll have the opportunity to make meaningful breakthroughs and shape a better and more fulfilling life.
We believe in iterating and fostering an 'Always Day 1' mindset to drive innovation and growth. Join us to be part of a rapidly growing tech company where possibilities are limitless.
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Singapore TikTok Full time4 days ago Be among the first 25 applicants ResponsibilitiesTikTok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for TikTok's hundreds of millions of global users. Here, you will collaborate with top algorithm engineers in the industry, leveraging your expertise in deep learning, recommendation algorithms, and...
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