LLM/Multimodal AI Engineer Intern (TikTok Search) - 2027 Start

TikTok
Singapore
InternshipFunction: Data Science & Machine LearningEducation: high_schoolSkills: ["Self-direction","Intellectual curiosity","Problem-solving","Analytical thinking","Communication"]

Help build and iterate on TikTok Search capabilities by working on AI Search Agent modules, including planning, memory, tool-use, and evaluation. Support LLM-based query understanding tasks like intent analysis and multi-turn conversation understanding, and contribute to experiments adapting LLMs for search scenarios. Assist with multimodal search work (visual representation learning and video understanding) and optimize RAG/LLM pipelines through retrieval construction, ranking analysis, and offline evaluation.

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FursaFursa
TikTok
TikTok
1 day ago

LLM/Multimodal AI Engineer Intern (TikTok Search) - 2027 Start

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Help build and iterate on TikTok Search capabilities by working on AI Search Agent modules, including planning, memory, tool-use, and evaluation. Support LLM-based query understanding tasks like intent analysis and multi-turn conversation understanding, and contribute to experiments adapting LLMs for search scenarios. Assist with multimodal search work (visual representation learning and video understanding) and optimize RAG/LLM pipelines through retrieval construction, ranking analysis, and offline evaluation.
Location: Singapore
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Develop AI Search Agent components under mentor guidance, including planning, memory, tool-use, and evaluation modules for search scenarios.
  • •Support LLM-based query understanding tasks such as intent analysis, multi-turn conversation understanding, prompt optimization, and offline evaluation.
  • •Assist in LLM adaptation experiments for search scenarios, including data preparation, model fine-tuning, reinforcement learning feedback analysis, and metric tracking.
  • •Contribute to multimodal search by supporting visual representation learning, video understanding, data processing, and model evaluation tasks.
  • •Optimize RAG and LLM pipelines, including retrieval data construction, ranking feature analysis, answer quality evaluation, and structured result presentation.

Key Requirements

  • •Currently pursuing an undergraduate or master’s degree in software development, computer science, computer engineering, or a related technical discipline.
  • •Proficient in at least one programming language such as C++ or Python, with a solid foundation in algorithms and data structures.
  • •Basic understanding of machine learning and deep learning fundamentals, with coursework, projects, or research experience in NLP, CV, multimodal learning, recommendation, search, or related domains.
  • •Familiarity with LLM fundamentals such as prompt engineering, supervised fine-tuning, retrieval-augmented generation, or model evaluation.
  • •Ability to commit to an internship and collaborate effectively in a fast-paced, cross-functional environment.
Education:High School in Software Development, Computer Science, Computer Engineering, or related technical discipline
Skills:Self-directionIntellectual curiosityProblem-solvingAnalytical thinkingCommunication
Tech Stack:C++PythonNLPComputer VisionMultimodalRecommender SystemsLLMPrompt engineeringSupervised fine-tuningRetrieval-augmented generationRAGModel evaluationSFTRLHFReinforcement learning feedbackInformation retrievalRankingData preparationData processing

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn