About TikTok
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
Our Search Team is responsible for building and owning TikTok's search engine which provides our users the best search experience. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities
Responsible for the internationalization of Tako algorithm landing of new short video products, researching new application forms and solutions based on new technologies in fields such as search, recommendation, and dialogue, meeting the growing intelligent interaction needs of users, comprehensively improving the user experience of using products, stimulating creativity, and providing value. The main work directions include:
1. Enhance the experience of dialogue interaction and expand the capabilities of current new technologies, such as search enhancement and the introduction of plug-ins;
2. Apply the latest technologies to improve the effectiveness of search and recommendation systems, including data production, model training/distillation, performance tuning, etc.
3. Track cutting-edge technologies in the industry, such as prompt engineering, instruction fine-tuning, plug-in selection, and session management, and put them into practice in the business;
4. Conduct in-depth research and exploration on more future application scenarios to keep the team's technology at the forefront.