Antifraud Algorithm Engineer

2 weeks ago

Singapore Shopee Full time

DepartmentEngineering and Technology- LevelExperienced (Individual Contributor)- LocationSingaporeThe 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.

Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future.

We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform.

Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.


About the Team

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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. Our unwavering commitment lies in crafting a world-class anti-fraud system that leverages cutting-edge technology to drive improved anti-fraud technology ability. We constantly explore the finest practices in large-scale deep neural network systems. If you share our passion for e-commerce and anti-fraud systems, we invite you to join us in developing a highly efficient anti-fraud engine.
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Research and

Develop Algorithms:

Design, research, and develop innovative anti-fraud algorithms that cater to various e-commerce scenarios, driving better user experience and decreasing the loss caused by fraud action.

Contribute to the production of scalable and optimized anti-fraud AI and ML models for identifying fraudulent behaviors in e-commerce.

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Model Optimization:
Continuously iterate and optimize the performance of models, ensuring accuracy and scalability

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Data Analysis:
Deeply analyze user behavior data and item info data to gain insights into fraud pattern, and enhance the effectiveness of the models

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Business and

Algorithm Integration:
Understand the business objectives and design algorithms to achieve the goal

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Industry Trends Monitoring:
Stay abreast of the latest trends in anti-fraud systems and relevant techniques, and explore opportunities to do Algorithm innovation

Requirements

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Bachelor's degree in Computer Science or the related field

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3+ years of work experience in AI engineering or anti-fraud

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Excellent coding abilities, familiar with Linux, proficient in C++/Python

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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

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Self-motivated, detail-oriented, fast learner and highly organised

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Good communication and teamwork skills

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- ** Experience in the e-commerce domain is preferred

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