Multimodal Algo Researcher (AI Innovation Center) Intern - 2026 Soaring Star Talent Program
Jan 13, 2026 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About The Team:
The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.
Project Introduction:
Multimodal foundation large models (VLM) represent a research hotspot in the industry and a critical technology for TikTok's business scenario applications. In 2024, TikTok's Innovation Center developed VFM V1, a multimodal large model tailored for TikTok's business scenarios. It matches the performance of the best open-source model Qwen VL on public test sets, while significantly outperforming all other foundation models on TikTok's business test sets. In the future, we aim to continuously develop foundation models with efficient perception and reasoning capabilities, capable of handling multilingual and massive video content understanding algorithms to deliver a better content consumption experience for users.
Project Challenges:
Enhance the multimodal perception encoder: The current encoder uses a fixed frame rate. We need to explore more efficient adaptive frame rates while considering the integration of modalities such as audio and user behavior.
How to fuse multimodal perception and thinking capabilities to promote stronger comprehensive perception and cognitive abilities of the model.
Qualifications
Minimum Qualifications:
- A PhD degree with top AI conference papers in ML/CV/NLP are required;
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred
- In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI
- Excellent ability to analyze and solve problems, and be passionate about solving challenging problems
Preferred Qualifications:
- Passion for technology, good communication skills and team spirit
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
About The Team:
The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.
Project Introduction:
Multimodal foundation large models (VLM) represent a research hotspot in the industry and a critical technology for TikTok's business scenario applications. In 2024, TikTok's Innovation Center developed VFM V1, a multimodal large model tailored for TikTok's business scenarios. It matches the performance of the best open-source model Qwen VL on public test sets, while significantly outperforming all other foundation models on TikTok's business test sets. In the future, we aim to continuously develop foundation models with efficient perception and reasoning capabilities, capable of handling multilingual and massive video content understanding algorithms to deliver a better content consumption experience for users.
Project Challenges:
Enhance the multimodal perception encoder: The current encoder uses a fixed frame rate. We need to explore more efficient adaptive frame rates while considering the integration of modalities such as audio and user behavior.
How to fuse multimodal perception and thinking capabilities to promote stronger comprehensive perception and cognitive abilities of the model.
Minimum Qualifications:
- A PhD degree with top AI conference papers in ML/CV/NLP are required;
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred
- In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI
- Excellent ability to analyze and solve problems, and be passionate about solving challenging problems
Preferred Qualifications:
- Passion for technology, good communication skills and team spirit
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
About The Team:
The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.
Project Introduction:
Multimodal foundation large models (VLM) represent a research hotspot in the industry and a critical technology for TikTok's business scenario applications. In 2024, TikTok's Innovation Center developed VFM V1, a multimodal large model tailored for TikTok's business scenarios. It matches the performance of the best open-source model Qwen VL on public test sets, while significantly outperforming all other foundation models on TikTok's business test sets. In the future, we aim to continuously develop foundation models with efficient perception and reasoning capabilities, capable of handling multilingual and massive video content understanding algorithms to deliver a better content consumption experience for users.
Project Challenges:
Enhance the multimodal perception encoder: The current encoder uses a fixed frame rate. We need to explore more efficient adaptive frame rates while considering the integration of modalities such as audio and user behavior.
How to fuse multimodal perception and thinking capabilities to promote stronger comprehensive perception and cognitive abilities of the model.
Qualifications
Minimum Qualifications:
- A PhD degree with top AI conference papers in ML/CV/NLP are required;
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred
- In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI
- Excellent ability to analyze and solve problems, and be passionate about solving challenging problems
Preferred Qualifications:
- Passion for technology, good communication skills and team spirit
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Responsibilities
ResponsibilitiesAbout The Team:
The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.
Project Introduction:
Multimodal foundation large models (VLM) represent a research hotspot in the industry and a critical technology for TikTok's business scenario applications. In 2024, TikTok's Innovation Center developed VFM V1, a multimodal large model tailored for TikTok's business scenarios. It matches the performance of the best open-source model Qwen VL on public test sets, while significantly outperforming all other foundation models on TikTok's business test sets. In the future, we aim to continuously develop foundation models with efficient perception and reasoning capabilities, capable of handling multilingual and massive video content understanding algorithms to deliver a better content consumption experience for users.
Project Challenges:
Enhance the multimodal perception encoder: The current encoder uses a fixed frame rate. We need to explore more efficient adaptive frame rates while considering the integration of modalities such as audio and user behavior.
How to fuse multimodal perception and thinking capabilities to promote stronger comprehensive perception and cognitive abilities of the model.
Qualifications
QualificationsMinimum Qualifications:
- A PhD degree with top AI conference papers in ML/CV/NLP are required;
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred
- In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI
- Excellent ability to analyze and solve problems, and be passionate about solving challenging problems
Preferred Qualifications:
- Passion for technology, good communication skills and team spirit
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Additional Information
- Posted: Jan 13, 2026