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Urgent! Senior Anti-fraud Algorithm Engineer - Search, Recommendation and Ads Job Opening In Singapore, Singapore – Now Hiring Shopee

Senior Anti fraud Algorithm Engineer Search, Recommendation and Ads



Job description

Senior Anti-fraud Algorithm Engineer - Search, Recommendation and Ads
Join to apply for the
Senior Anti-fraud Algorithm Engineer - Search, Recommendation and Ads
role at
Shopee
The Engineering and Technology team is at the core of the Shopee platform development.

The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies.


About the Team
The Shopee e-commerce Anti-fraud team is dedicated to enhancing user experience, reducing traffic loss caused by low-quality products and orders to improve traffic value across all search, recommendation, advertisement scenarios amidst a continuously growing user base and product catalog.


Job Description
Research and Develop Algorithms: Identify various fraud orders in e-commerce search and recommendation, design and develop effective risk control strategies and models to guarantee user experience and seller benefit
Model Optimisation: Explore, innovate, and optimise risk control models to improve precision, recall, and scalability
Data Analysis: Conduct in-depth analysis of business data, user behaviour data, and seller/item information, leveraging various anomaly detection methods for modelling
Business and Algorithm Integration: Align risk control strategies with advertising business objectives, establish a robust anomaly monitoring system, and quickly detect and address risk
Industry Trends Monitoring: Stay updated on the latest trends in risk control and anomaly detection technologies, exploring innovative algorithms
Requirements
Bachelor's degree or higher in Computer Science or a related field
Minimum 2 years of work experience in AI engineering or anti-fraud systems
Hands on experience in applying or fine-tuning LLM, familiar with reinforcement learning
Excellent coding abilities
Solid foundation in machine learning theory and familiar with common anti-fraud models, proficient in using deep learning frameworks, such as TensorFlow/Caffe/MXNet/PyTorch
Detail-oriented, highly organised, and quick to learn
Strong communication and teamwork abilities
Self-motivated, resilient under pressure, and eager to drive business breakthrough
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