Senior Promotion Intelligence Algorithm Engineer - Singapore - Shopee

Description

Senior Promotion Intelligence Algorithm Engineer - Marketplace Intelligence and

Senior Promotion Intelligence Algorithm Engineer - Marketplace Intelligence and

Mathematics, Statistics & Information Sciences (Science & Technology)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:

The mission of the Marketplace Intelligence and Data team is to build advanced, large-scale data and intelligent data products to facilitate the growth of Shopee's e-commerce business.

The team is responsible for Shopee's e-commerce data warehouse design, merchant and operations data product development, end-to-end traffic data, product algorithms (including product listing, control, information optimization, SPU, etc).

It also covers marketing algorithms, including product recruitment & selection, recommendation algorithms, user profiles, as well as fundamental AI capabilities such as machine translation, speech algorithms, image algorithms, etc.

Job Description:

Collaborate across teams with business teams, product managers, FE/BE engineers, and designers throughout the entire process of data science projects.

Apply recommendation and marketing algorithms to e-commerce marketing scenarios, including but not limited to personalized recommendations for marketing products and vouchers, personalized operational placement displays, product recruitment & selection algorithms.

Design and optimize algo-driven marketing algorithms and iterative strategies based on business and product requirements, with the goal of improving AB experiment conversion rates, etc.

Collaborate with software engineers, data engineers, and data analysts to build, validate, test, deploy, and monitor AI models and algorithms, and build corresponding machine learning pipelines.

Requirements:
Strong analytical, problem-solving, learning abilities, and teamwork skills.

Master's degree or above in computer science, mathematics, data mining, statistics, or related fields, or a bachelor's degree with at least two years of work experience, along with excellent programming skills (proficiency in at least two programming languages such as Python, SQL, Scala, etc).Solid theoretical knowledge of ML models (e.g., GBDT/LR/FM/DNN, etc.).Experience with deep learning frameworks such as Tensorflow, Keras, Pytorch, and working experience with big data analysis and distributed databases or distributed systems (e.g., Hadoop, Hive, Spark, Hbase, etc.).Familiar with recommendation system algorithm architecture and processes, with project experience in recall, coarse-ranking, ranking, and re-ranking deep learning models (e.g., DSSM/PDN/DIN/DIEN/DeepFM/BST/PRM), knowledge of causal inference and reinforcement learning, and practical experience in these areas.

Applicants with years of practical experience in user growth, intelligent marketing, recommendation, advertising, search algorithms, and related fields will be given preference.

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