Machine Learning Engineer, TikTok Video Recommendation-Location Products
San Jose, California, United States
Team introduction:
TikTok 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 large models to continuously transform and enhance the TikTok user experience and content ecosystem.
In particular, the local service recommendation team focuses on targeting user experience and transaction scale optimization for lifestyle service content, including hotels, travel, dining, and more. This role aims to pioneer new content and revenue streams for the company.
Responsibility：
1. Responsible for developing content recommendation algorithms for international local services. Collaborate with the team to build an industry-leading recommendation system, providing high-value content for hundreds of millions of global users, promoting business growth and enhancing user experience.
2. Delve deeply into the influence value of content in local services, leading to growth and ecological optimization of content in vertical fields. Based on a profound understanding of user scenarios and content preferences, combined with product and operational means, achieve scalable growth of content, and verify the value contribution of vertical content to the overall business.
3. Master the core algorithms of the recommendation system, focus on multimodal data such as video, live, geographic location, and goods, optimize recall strategies, recommendation models and multi-objective optimization mechanisms, fully apply machine learning, deep learning and LLM algorithms to improve system performance and recommendation effects.
4. Focus on user behavior and experience optimization, deeply analyze user behavior, optimize user experience in the process of creation and browsing through data mining and other technical skills, stimulate the enthusiasm of creators, and improve user stickiness and satisfaction.
TikTok 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 large models to continuously transform and enhance the TikTok user experience and content ecosystem.
In particular, the local service recommendation team focuses on targeting user experience and transaction scale optimization for lifestyle service content, including hotels, travel, dining, and more. This role aims to pioneer new content and revenue streams for the company.
Responsibility：
1. Responsible for developing content recommendation algorithms for international local services. Collaborate with the team to build an industry-leading recommendation system, providing high-value content for hundreds of millions of global users, promoting business growth and enhancing user experience.
2. Delve deeply into the influence value of content in local services, leading to growth and ecological optimization of content in vertical fields. Based on a profound understanding of user scenarios and content preferences, combined with product and operational means, achieve scalable growth of content, and verify the value contribution of vertical content to the overall business.
3. Master the core algorithms of the recommendation system, focus on multimodal data such as video, live, geographic location, and goods, optimize recall strategies, recommendation models and multi-objective optimization mechanisms, fully apply machine learning, deep learning and LLM algorithms to improve system performance and recommendation effects.
4. Focus on user behavior and experience optimization, deeply analyze user behavior, optimize user experience in the process of creation and browsing through data mining and other technical skills, stimulate the enthusiasm of creators, and improve user stickiness and satisfaction.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
Product Jobs
Tags: Data Mining Deep Learning LLMs Machine Learning
Perks/benefits: Career development Startup environment
Region:
North America
Country:
United States
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