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Personalized Recommendation Systems Engineer
3 weeks ago
We are seeking an exceptional Personalized Recommendation Systems Engineer to join our team. As a key member of our Global Content Recommendation Algorithm Development team, you will be responsible for developing innovative recommendation algorithms that cater to the needs of hundreds of millions of global users. Your primary focus will be on creating personalized recommendations for local services, including hotels, travel, dining, and more. You will work closely with top algorithm engineers to leverage your expertise in machine learning, deep learning, and large models to continuously transform and enhance the TikTok user experience and content ecosystem.
You will be responsible for:
Developing cutting-edge transaction recommendation algorithms for international local services, collaborating with the team to build an industry-leading recommendation system that accurately recommends local service products to hundreds of millions of global users, increasing transaction volume, and enhancing the user transaction experience.
Possessing a deep understanding of core algorithms related to recommendations, including machine learning, deep learning, and LLM algorithms applied in video, live streaming, geographic location, and product recommendation systems. Optimizing recall strategies, model architectures, and multi-objective optimization mechanisms to improve recommendation efficiency and accuracy.
Driving the integration of local service transaction optimization with industry knowledge, conducting in-depth analysis of the characteristics of the local services industry, focusing on typical domains such as hotels, travel, and dining. Combining industry knowledge with recommendation algorithms to enhance user transaction experiences, improve conversion efficiency, and facilitate scalable growth of GMV in local services.
Omitting user transaction and decision-making experiences by conducting in-depth research on user discovery behaviors, leveraging data mining and analytical techniques to improve user interactions during transactions and overall experience. Strengthening user trust and loyalty to the platform.
Required qualifications include:
A Master's degree or above in computer science or a related field.
Strong programming skills with a solid foundation in machine learning/deep learning; candidates with experience in recommendation systems, computational advertising, search engines, or LLM-related fields will be preferred.
Pasionate about recommendation algorithms and machine learning, with a willingness to learn, think critically, delve deeply, and innovate.
Excellent problem analysis and solving skills, along with strong communication abilities and a collaborative team spirit.
The successful candidate will have the opportunity to join a dynamic and inclusive team that is passionate about creating a better and more fulfilling life for users worldwide.
