The posting
Team Introduction
Our TikTok Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities
- Build AI Search Agents with planning, memory, and tool-use capabilities, applying reinforcement learning, knowledge representation, and automated decision-making technologies to solve complex problems end-to-end.
- Optimize LLM-based query understanding capabilities, process multi-turn conversation semantic analysis, and ensure accurate and objective search results through LLM reasoning.
- Develop LLM technologies to adapt to diverse search scenarios, including pre-training strategies and efficient RLHF algorithms, to improve core metrics such as search relevance and timeliness.
- Utilize multimodal large models for visual representation learning and video understanding, strengthening search retrieval capabilities.
- Optimize RAG and LLM pipelines, improve retrieval ranking algorithms, train and optimize LLM answer generation capabilities (e.g. fine-tuning, inference optimization), and enhance the relevance and structured presentation of search results.
- Translate cutting-edge LLM/Agent technology research outcomes into production environments, collaborating with cross-functional teams to drive product iteration and upgrades.
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficient in C++/Python, with solid foundation in algorithms and data structures.
- Basic understanding of LLM fundamental principles (e.g. prompt engineering, fine-tuning workflows).
- Strong problem-solving skills with proven experience delivering technical projects.
- Solid foundation in machine learning and deep learning, with practical experience in NLP, CV or related domains.
- Excellent analytical and problem-solving abilities.
Preferred Qualifications:
- Hands-on experience with LLM/Agent related technologies: RAG optimization, LLM RLHF/SFT, Agent framework development (e.g. planning/memory modules).
- Relevant experience in search, recommendation or advertising domains.
- Publication experience in top conferences (ICLR, NeurIPS, ICML, ACL, CVPR, etc.) is a plus.
- Excellent communication and collaboration skills, with a passion for exploring new technologies and driving technical implementation.
