
Intelligent Search Systems Engineer
3 days ago
Job Title: Intelligent Search Systems Engineer
About Us:
TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy to our users. Our global headquarters are in Los Angeles and Singapore, and we have offices in several other locations around the world.
At TikTok, our innovative products are built to help people authentically express themselves, discover and connect with others. We strive to do great things with great people, lead with curiosity and humility, and aim to make a meaningful impact in a rapidly growing tech company.
We believe in fostering an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We are passionate about celebrating our diverse voices and creating an environment that reflects the many communities we reach.
Job Highlights:
- Positive team atmosphere
- Career growth opportunities
- 100+ million users
- Meal allowance
- Competitive compensation
Responsibilities:
Our Search Team focuses on building intelligent search systems for TikTok, including AI-powered search agents and LLM-based query understanding. We develop search question-answer cards via LLM-powered generation and leverage LLM ChatBot, Agent, and RAG technologies to deliver accurate, real-time responses.
- Build AI Search Agents with planning, memory, and tool-use capabilities.
- Enhance LLM-based query understanding by processing multi-turn conversations and conducting semantic analysis on queries and documents.
- Optimize RAG and LLM pipelines by improving retrieval and ranking algorithms, training and optimizing LLMs for answer generation, and enhancing the relevance and structured presentation of search results.
- Translate research innovations into production, collaborating with cross-functional teams to drive product upgrades.
Qualifications:
- Proficient in C++/Python; strong command of algorithms and data structures.
- Broad knowledge of machine learning fundamentals, including LLM principles and fine-tuning workflows.
- Strong problem-solving skills with a track record of delivering technical projects.
Preferred Qualifications:
- Hands-on experience with LLM/Agent technologies, such as RAG optimization, RLHF/SFT for LLMs, or Agent framework development.
- Excellent communication and collaboration skills, with a track record of exploring new technologies and driving technical advancements with teams.
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