Applied Scientist, Search, E-Commerce Alliance
Core
Design and implement machine learning models to improve search and recommendation systems for TikTok's e-commerce platform, serving merchants and creators.
Role type
Applied Scientist (Search & Recommendation)
Builds
Search systems, recommendation engines, and seller center tools for TikTok e-commerce
Domain
E-commerce, Search, Information Retrieval
Deliverable
production ML models
Required skills
Machine learning, deep learning, data mining, artificial intelligence, Python, C++, Java, GO, search algorithms, information retrieval, ranking systems
Preferred skills
Natural Language Processing (NLP), modeling/algorithms competition records, programming competition records, recommendation systems, computational advertising, E-commerce search systems
Responsibilities
Develop and implement advanced machine learning algorithms for search and recommendation systems, define scope and design end-to-end ML models, analyze large-scale data to identify search system improvements, create and iterate on ML models to optimize search functions, present complex findings to non-technical audiences
Seniority
Mid-to-Senior, hands-on IC
