Advertising Recommendation Algorithm Expert

About the Company

The hiring organization has teamed up with a globally recognized technology leader specializing in ICT infrastructure and smart devices. Its offerings span AI-driven solutions across products and services for carriers, enterprises, public sector organizations, and consumers around the world.

They are looking to add an Advertising Recommendation Algorithm Expert to the Singapore team.

Role Overview

This position focuses on building sophisticated recommendation and reasoning systems that improve ad relevance, user experience, and campaign outcomes. The role blends advanced machine learning research with practical platform integration and cross-functional collaboration.

Key Responsibilities

• Develop and deploy advanced reasoning approaches for large language models so they can tackle multi-step tasks, logical inference, and abstract problem solving.
• Create and test new methods to raise recommendation performance using deep learning, reinforcement learning, and multi-armed bandit strategies.
• Keep current with the latest progress in recommender systems, machine learning, and advertising technology.
• Apply techniques such as collaborative filtering, content-based filtering, and hybrid recommendation models to increase ad relevance and improve the user journey.
• Partner with data engineers, software developers, product managers, and other stakeholders to embed recommendation logic into advertising products and applications.
• Work closely with business and marketing teams to make sure models support advertising goals and user engagement targets.

Requirements

• Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
• At least 5 years of hands-on experience building recommendation algorithms, especially for large-scale data, user behavior signals, and real-time systems.
• Strong command of machine learning methods including collaborative filtering, content-based filtering, matrix factorization, and deep learning.
• Excellent verbal and written communication skills, with the ability to translate technical ideas for non-technical audiences.
• Genuine interest in innovative advertising technologies and using data to improve decisions and outcomes.
• Proven publication record in leading AI conferences such as Recsys, KDD, NIPS, ICML, and ACL.

Additional Information

Candidates who are interested in this opportunity should submit their application through the employer’s recruitment process. Only shortlisted applicants will be contacted.

EA License No.: 01C4394

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