Advertising Recommendation Algorithm Expert

About the Company

We are collaborating with a globally recognized leader in information and communications technology (ICT) infrastructure and smart devices. This organization offers comprehensive AI solutions across all scenarios for carriers, enterprises, governments, and individual users globally.

Job Description

• Develop and deploy sophisticated reasoning algorithms tailored for large language models to handle intricate, multi-step problems, execute logical deductions, and perform abstract reasoning.
• Innovate and apply new methods to enhance recommendation system quality, including approaches such as deep learning, reinforcement learning, and multi-armed bandit algorithms.
• Keep abreast of the most recent developments in recommendation systems, machine learning, and advertising technologies.
• Utilize machine learning methodologies like collaborative filtering, content-based filtering, and hybrid techniques to boost advertisement relevance and enhance user experience.
• Collaborate cross-functionally with data engineers, software developers, and product managers to incorporate recommendation algorithms into advertising platforms and applications.
• Partner with business and marketing teams to ensure recommendation models align with strategic advertising goals and maximize user engagement.

Requirements

• Doctorate degree in Computer Science, Artificial Intelligence, Machine Learning, or closely related disciplines.
• Minimum of five years’ experience in developing recommendation algorithms, especially handling large-scale datasets, user behavior analytics, and real-time recommendation systems.
• Proficient in machine learning techniques including collaborative filtering, content-based filtering, matrix factorization, and deep learning.
• Outstanding communication abilities, capable of conveying complex technical concepts to non-technical audiences.
• A genuine enthusiasm for pioneering advertising technologies and enhancing user experiences through data-informed decision-making.
• Strong scholarly record with publications in top-tier AI conferences such as Recsys, KDD, NIPS, ICML, and ACL.

Additional Information

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