LLM/Multimodal AI Engineer Intern (TikTok Search) - 2027 Start (PhD)
Core
Building and optimizing large-scale search engine systems using information retrieval, NLP, Computer Vision, and multimodal machine learning.
Role type
PhD intern, LLM/Multimodal AI Engineer (Search)
Builds
Full-stack search engine system, LLM-powered generative search, multimodal search capabilities
Domain
Internet search, Information retrieval, Large Language Models, Multimodal AI
Deliverable
production ML models
Required skills
Python, C++, Machine learning fundamentals, Deep learning, Search/retrieval algorithms, Ranking, Recommender systems, NLP, Multimodal learning, LLMs
Preferred skills
Search/ranking/NLP/LLM research projects, Open-source contributions, Publications, Analytical problem-solving, Prototyping
Technologies
LLMs, Retrieval-augmented generation (RAG), Search agents, Long-context models
Responsibilities
Develop and optimize algorithms for query understanding, retrieval, ranking, and relevance modeling; Apply ML and foundation models to improve search relevance and personalization; Explore LLM-powered search technologies like generative search and search agents; Contribute to multimodal search leveraging text, image, video, and audio signals; Prototype technical ideas and conduct experimental validation; Perform data analysis and model evaluation for offline/online experiments
