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Multimodal Algo Researcher Intern

2 months 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 multi-modal LLMs. Our mission is to empower machines to better comprehend user-generated content on the TikTok platform.

By enhancing content understanding, we aim to provide a more seamless user experience through improved search, recommendation, and content moderation. Additionally, our LLMs will help identify and prevent internet abuse and fraud on our platform.

As a project intern, you will have the opportunity to contribute to impactful short-term projects, gaining valuable professional experience and insights into your career interests.

You will develop practical skills through on-the-job learning in a fast-paced work environment and gain a deeper understanding of your career aspirations.

We encourage applications from talented individuals who can commit to at least a 3-month internship period.

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 AI conference papers in ML/CV/NLP required.
  • Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, with a strong background in 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 passion for tackling challenging problems.
Preferred Qualifications
  • Passion for technology, good communication skills, and team spirit.