Machine Learning Engineer (Data Mining) - TikTok Shop
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.
Minimum Qualifications
- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.
- 5 years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining.
- Familiar with one of the Python/Java/Go/C++ programming languages.
- Familiar with common data processing technologies (Hadoop, Spark, Hive, Storm, Flink), with demonstrable coding skills.
- Familiar with common data mining techniques and machine learning algorithms (GBDT, Xgboost, FM, DFM, etc.), and familiar with their principles and scope of application.
- Proficiency in data mining, machine learning tools and common frameworks (TensorFlow, Pytorch).
Preferred Qualifications
- Continuous learning, keeping up with the latest research directions and results in the field of machine learning, for the exploration of big data applications in various vertical areas.
- In-depth research experience in analysis and mining of user behaviour data and construction of user portraits.
- Data mining experience in vertical industries (e-commerce, finance, games, travel, real estate, etc.).
- Development and optimisation of advertising and recommendation algorithms.
Company profile
TikTok
TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.
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