MLLM Algorithm Engineer Graduate (TikTok Search) - 2026 Start (BS/MS)

Responsibilities

Team Introduction
TikTok Search-Multimodel Team focuses on building industry-leading large model-based search technology. Our team has positions in China and Singapore, attracting top global talents. With deep expertise in NLP, CV, and multimodal technologies, our team combines engineering practices with academic research to continuously explore cutting-edge applications in search technology. Leveraging TikTok's vast data resources and powerful computing capabilities, our team provides a solid foundation for technological development. Through large models, our team aims to address challenges in complex search scenarios, with technical achievements directly applied to TikTok's search functions to enhance user experience and support business growth.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Develop LLM technologies for diverse search scenarios, including pre-training strategies and efficient RLHF, to improve relevance, recency, and other key aspects.
- Utilize MLLMs for visual representation learning and video understanding, strengthening search retrieval capabilities.
- Design personalized ranking algorithms that understand user intent and deliver tailored search results.
- Build reliable, low-latency online search services with large-scale data to ensure stability and superior user experience.

Qualifications

Minimum Qualifications:
- Final year or recent graduate with a background in computer science, artificial intelligence, or related fields.
- Strong foundation in machine learning and deep learning, with experience in NLP, CV, or ML.