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Ad Recommendation Algorithm Intern Engineer

Tencent

Full Time Singapore Mid Level Competitive
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Description


  • Deeply understand overseas advertising business scenarios. Identify opportunities for technical enhancement through keen data insights, and continuously optimize recommendation strategies and models to improve core business metrics.

  • Explore and conduct research on cutting-edge recommendation technologies.Be responsible for the development and performance optimization of overseas advertising recommendation algorithms. You will focus on one of the following specific areas:


  • Model & Algorithm: Optimize estimation models for precise ranking (pCTR/pCVR/pLTV) and recall(LTR). This includes but is not limited to research in ultra-long sequence modeling, multimodal large models for recommendation, multi-scenario & multi-task learning, and scaling up complex cross networks.


  • Bidding Mechanism: Optimize algorithmic strategies for cost attainment, volume scaling, and cold start. This includes but is not limited to applying reinforcement learning and generative bidding techniques.


  • Industry-Specific Algorithms: Optimize models and strategies for key industries such as gaming and e-commerce. This includes but is not limited to exploring AI-powered intelligent delivery solutions.

About Tencent

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