Machine Learning Engineer (Data Mining) - Global E-Commerce

About The Team
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated.

With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our product engineering team is responsible for building an e-commerce ecosystem that is innovative, secure and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.

Responsibilities
- Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.
- Data mining for e-commerce, building tagging system based on massive data, analysing user, traffic, e-commerce and other data, combining with business to improve GMV.
- Data analysis, mining, model specific productization; understanding of e-commerce business, able to work with PM to continuously optimize data products based on data-driven.
- Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.
- Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.