Algorithm Engineer
6 hours ago
DepartmentEngineering and Technology
LevelEntry Level
LocationSingapore
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. 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. Browse our Engineering and Technology team openings to see how you can make an impact with us.
**About the Team**:
The mission of the Marketplace Intelligence team is to build sustainable and scalable data products to promote the business and mission of Shopee marketplace by analyzing massive item and user related data, producing reliable predictive business insights and data-driven services, maximizing the effectiveness of marketing campaigns as well as providing personalized e-commerce experiences based on all-round item profiling and user profiling data and information.
- Work closely with the promotion product team, business partners and internal stakeholders to discover market growth problems, uncover insights, identify key levers and deliver practical solutions based on large-scale user and product data.
- Build core machine learning models involving deep learning, operations research as well as building end-to-end machine learning pipelines to optimize promotion product efficiency and improve key target metrics such as CTR and CR.
- Work on solutions involving personalized recommendation and overall distribution optimisation of voucher/promotion item, smart recommendation of voucher and promotion item configurations setting, e-commerce campaign budget planning, product demand forecasting, etc.
**Requirements**:
- Bachelor or higher degrees in Computer Science, Engineering, Mathematics, Statistics, Biostatistics or other fields related to data mining preferred.
- Knowledge in optimisation, classical machine learning (classification, regression, clustering, etc), deep learning or reinforcement learning.
- Experience in Tensorflow/Pytorch machine learning framework..
- Practical project experience of deep learning preferred.
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