Machine Learning Engineer Graduate (TikTok-Data-Search-Visual Search) - 2027 Start (PhD)
Core
Build and own TikTok's search engine by combining information retrieval with modern machine learning methods (NLP, CV, recommender systems) to provide the best search experience for users.
Role type
PhD Graduate Machine Learning Engineer (Search & Information Retrieval)
Builds
Full-stack search engine system for TikTok
Domain
Social media, Search, Information Retrieval, Machine Learning
Deliverable
production ML models
Required skills
NLP, Computer Vision (CV), Large Language Models (LLM), Information Retrieval, Ranking, Recommendation Systems, Multimodal Learning, Data Mining, Machine Learning Systems
Preferred skills
Publications/preprints/patents in search or ML, Large-scale retrieval and ranking, Model training and evaluation, Distributed systems, Production ML systems, Vector search, Semantic retrieval
Responsibilities
Apply cutting-edge NLP and CV technology with LLMs to match relevant videos to search queries; Solve recommendation problems within search to increase personalization; Develop new retrieval, ranking, and relevance evaluation methods; Translate research ideas into scalable product improvements.
Seniority
PhD Graduate, Early-career Researcher/Engineer
