腾讯(tencent)招聘Ad Recommendation Algorithm Intern Engineer 107652
招聘职位:
Ad Recommendation Algorithm Intern Engineer 107652 搜索同类职位
岗位职责:
Business Unit
Corporate Development Group (CDG) as the platform for the company's new business incubation and new business exploration, CDG is responsible for promoting development and innovation for important areas such as financial technology and advertising, as well as marketing services, including payment and financial applications. As a professional support platform, CDG also supports the company and various business groups in strategic planning, investments and mergers, investor relations and corporate global communications, marketing and public relations, and more.
What the Role Entails
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.
Who We Look For
Bachelor's degree or above in Computer Science, Mathematics, Artificial Intelligence, or a related field.
Solid programming skills and algorithmic foundation, proficient in at least one programming language such as Python, C++, Go, or Scala.
Strong theoretical foundation in machine learning/deep learning, proficient in at least one mainstream deep learning framework like TensorFlow or PyTorch.
Familiar with the use of big data platform tools like Hadoop, Spark, or Flink.
Excellent logical thinking, problem analysis, and problem-solving skills. Passionate about tackling challenging problems.
Strong communication skills, proactive work attitude, high sense of responsibility, self-motivated, committed to continuous learning, and excellent teamwork ability.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Singapore-CapitaSky
岗位要求:
岗位要求详情请见上方岗位职责内说明
Business Unit
Corporate Development Group (CDG) as the platform for the company's new business incubation and new business exploration, CDG is responsible for promoting development and innovation for important areas such as financial technology and advertising, as well as marketing services, including payment and financial applications. As a professional support platform, CDG also supports the company and various business groups in strategic planning, investments and mergers, investor relations and corporate global communications, marketing and public relations, and more.
What the Role Entails
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.
Who We Look For
Bachelor's degree or above in Computer Science, Mathematics, Artificial Intelligence, or a related field.
Solid programming skills and algorithmic foundation, proficient in at least one programming language such as Python, C++, Go, or Scala.
Strong theoretical foundation in machine learning/deep learning, proficient in at least one mainstream deep learning framework like TensorFlow or PyTorch.
Familiar with the use of big data platform tools like Hadoop, Spark, or Flink.
Excellent logical thinking, problem analysis, and problem-solving skills. Passionate about tackling challenging problems.
Strong communication skills, proactive work attitude, high sense of responsibility, self-motivated, committed to continuous learning, and excellent teamwork ability.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Singapore-CapitaSky
岗位要求:
岗位要求详情请见上方岗位职责内说明
免责声明:
此信息由腾讯官网 (查看来源)审核并发布,我们转载该信息,仅出于传递更多就业招聘资讯、促进大学生及广大求职者就业之目的。该招聘职位信息的真实性、准确性、时效性及合法性均由原始发布方“腾讯官网”负责。我们作为信息转载平台,不构成求职建议,不涉及任何职业中介服务,不对其内容承担任何形式的保证责任。请用户在使用转载信息时保持审慎,自行判断并承担相应风险,求职请认准企业官方渠道!