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. 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:

Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.

Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.

The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication.

The Listing Intelligence algorithm team is dedicated to apply cutting-edge AI algorithms to understand large-scale product data and overcome multi-language challenges. Through massive product category prediction, large-scale product attribute mining, Standard Product Unit identification, similar item matching, price comparison, and adversarial detection of prohibited products, to optimize merchants and operational efficiency while improving consumer shopping experience.

Job Description:

• For e-commerce businesses and products, apply natural language processing related algorithms in multi-language situations, such as but not limited to: information extraction, phrase mining, part-of-speech tagging, text classification, sentiment analysis, pre-training models, graph embedding, etc. .
• Through the natural language processing algorithm model, it supports product release, product optimization and management, standard product unit (SPU) library construction, identical product recognition, price comparison, and other business applications, thereby improving product conversion efficiency and platform operation efficiency.
• Explore cutting-edge technologies related to natural language processing algorithms and introduce them into existing systems to improve technical indicators.

Requirements:

• Master’s degree or above in computer science, artificial intelligence or related discipline .
• Experience in NLP or knowledge graph related projects.
• Excellent programming skills.
• Experience in e-commerce related projects is preferred.