Machine Learning Engineer Graduate (TikTok-Data-Search-Search Quality) - 2027 Summer Start (PhD)
Core
Building and improving TikTok's search engine by combining information retrieval with modern machine learning methods (NLP, CV, recommender systems) to enhance relevance, personalization, and video understanding.
Role type
PhD Graduate Machine Learning Engineer (Search & Information Retrieval)
Builds
Full-stack search engine system for TikTok users
Domain
Social media, Search, Information Retrieval, Machine Learning
Deliverable
production ML models
Required skills
NLP, Computer Vision, Large Language Models, Information Retrieval, Ranking Algorithms, Recommendation Systems, Multimodal Learning, Data Mining, Machine Learning Systems, Scalable Model Training
Preferred skills
Publications in top-tier venues, Experience with distributed systems, Online experimentation, Vector search, Semantic retrieval, Query understanding
Technologies
LLM, NLP, CV, Distributed systems
Responsibilities
Apply cutting-edge NLP and CV to match relevant videos to search queries; Model user behavior to increase personalization in search; Develop methods for video understanding from content and social network perspectives; Translate research ideas into scalable product improvements for retrieval and ranking.
Seniority
PhD Graduate, Early-career Researcher
