TikTok LLM Agent Researcher

1 month ago


Singapur, Singapore TikTok Full time
About The Team

The TikTok Eng-AI Innovation Center is dedicated to pushing the boundaries of Artificial General Intelligence (AGI) technologies, including Large Language Models (LLMs) and multimodal LLMs. Our mission is to develop cutting-edge AI solutions that enhance user experience, improve content understanding, and drive innovation on the TikTok platform.

Job Description

We are seeking talented individuals to join our team in 2025 and contribute to the development of LLM agents that can better understand user creations on TikTok. As a graduate, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities.

Key Responsibilities
  1. Research and develop LLM agent methodologies to improve performance, reduce costs, and enhance stability.
  2. Explore cutting-edge technologies related to LLM agent engineering platforms, including Reasoning, Planning, and Toolkits.
  3. Design and implement high-performance, cost-effective large-model agent service architectures that ensure high service availability.
  4. Investigate the application of frontier LLM agents, such as multimodal video agents and multi-agents coordination on Code AI.
Requirements
  1. PhD in Computer Science or related fields with excellent communication and teamwork skills.
  2. Excellent coding ability, data structures, and fundamental algorithm skills, with proficiency in C/C++ or Python.
  3. In-depth research and collaboration with researchers from top-tier universities worldwide.
  4. Preference will be given to candidates with experience in developing and deploying LLM agents, multiple-modality LLM, and multiple-agents coordination.
Preferred Qualifications
  1. Passion for technology, good communication skills, and team spirit.

We encourage you to apply early, and applications will be reviewed on a rolling basis. Please note that candidates can apply to a maximum of two positions and will be considered for jobs in the order they apply.



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