Research Scientist Intern – Search​/Generative AI; LLM - Global Frontier Tech Program

Research Scientist Intern – Tik Tok Search / Generative AI (LLM) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

Location:

San Jose

Employment Type:

Intern

Job Code: A29723

Responsibilities

The Tik Tok Search team is responsible for delivering a world-class search experience across Tik Tok's global ecosystem. Our mission is to connect users with the most relevant and high-quality content through advanced technologies in search ranking, recommendation, and multimodal understanding. As a campus hire, you will collaborate with top engineers and researchers to solve challenging problems at scale, working across the full stack of search—from content understanding and retrieval to ranking and user experience optimization.

Project Overview, Challenges & Value With the rapid evolution of pre-trained large models, Tik Tok Search is advancing toward a new paradigm of AI-native search. Traditional search systems face increasing limitations when handling massive-scale data, multimodal content (video, text, image), and complex user intents. This project focuses on building a next-generation generative search system powered by large models to significantly enhance search intelligence and user experience.

Key focus areas include:

• Integrating large models with ranking systems to improve personalization and relevance.
• Developing end-to-end generative search models based on multimodal pretraining.
• Exploring large model–driven agent frameworks to better support complex, ambiguous, and multi-turn search scenarios.

Key challenges include:

• Personalized ranking:
  Fully leveraging multimodal signals beyond traditional model capacity.
• Ultra-large-scale retrieval and ranking:
  Scaling search systems to efficiently handle hundreds of billions of candidates.
• Complex query understanding:
  Accurately interpreting long, ambiguous, and multi-turn queries to improve user satisfaction.

Project Value:

• Technical Value:
  Drive innovation in large model–powered search architecture and enable agent-based AI search systems.
• Business Value:
  Significantly improve search relevance and user satisfaction, strengthening Tik Tok's search engagement and long-term growth.

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

Qualifications

Minimum Qualifications:

• Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
• Solid foundation in machine learning, deep learning, or information retrieval.
• Familiarity with at least one of the following: LLMs, NLP, search/recommendation, or multimodal learning.
• Proficiency in Python and experience with ML frameworks (e.g., PyTorch, Tensor Flow).
• Strong problem-solving skills and willingness to learn in a fast-paced environment.

Preferred Qualifications:

• Research experience demonstrated through projects, publications, or open-source contributions.
• Experience with large-scale data, model training, or system implementation.
• Exposure to search, recommendation, or ads systems.
• Experience with multimodal models or generative AI applications.
• Interest in LLMs, agent-based systems, or end-to-end AI applications.
• Previous internship or research experience in industry or labs.

Job Information

The hourly rate range for this position in the selected city is $60-$60. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).

Interns who are not working 100% remote may also be eligible for housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws…