Multimodal Algo Researcher Intern
2 months ago
**About the Team**
The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge Artificial General Intelligence (AGI) technologies, including but not limited to Large Language Models (LLMs), multi-modal LLMs (video/image/audio/text/code), and other advanced AI capabilities, to enable machines to better understand user-generated content on the TikTok platform.
**Key Objectives**
- Enhance content understanding to provide a better user experience through improved searching, recommendation, and content moderation capabilities.
- Develop and deploy LLMs to automatically reorganize and optimize the TikTok codebase, making it more accessible and efficient for engineers.
**Job Responsibilities**
- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, enhancing TikTok service code performance and privacy compliance.
- Explore Code Agent capabilities suitable for actual business production environments and improve TikTok R&D efficiency.
**Requirements**
- PhD with top-tier AI conference papers in Machine Learning (ML), Computer Vision (CV), and Natural Language Processing (NLP).
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, with a preference for winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc.
- In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.
- Excellent problem-solving skills and a passion for tackling complex challenges.
**Preferred Qualifications**
- Passion for technology, good communication skills, and a strong team spirit.
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