Drimva

TikTok

Machine Learning Engineer Graduate (TikTok-Data-Search-Basic Ranking) - 2027 Start (PhD)

San Jose, California · Full-time · Posted Oct 28, 2026

Education
PhD in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Information Retrieval, Natural Language Processing, Data Mining, Statistics, or a related technical field.
Visa sponsorship
Candidates must establish authorization to work in the United States. The company does not provide sponsorship or immigration-related benefits.

About the job

Conduct applied research and build scalable improvements to TikTok Search’s retrieval, ranking, relevance, personalization, and video-understanding systems.

What you'll do

  • Research and improve search core algorithms, including content understanding, user behavior modeling, and video understanding.
  • Develop retrieval, ranking, relevance evaluation, query understanding, multimodal search, or LLM application methods.
  • Translate research ideas into scalable product improvements.

What they ask for

  • Currently pursuing or recently completed a PhD in a listed or related technical field.
  • Must have graduated with an applicable degree before onboarding.
  • Research or practical experience in at least one listed area, such as search, information retrieval, ranking, recommendation systems, NLP, multimodal learning, LLMs, data mining, or machine learning systems.
  • Must be able to commit to an onboarding date by the end of the year.

Nice to have

  • Publications, preprints, patents, open-source contributions, or research projects in relevant areas.
  • Experience or familiarity with large-scale retrieval, ranking, model training, evaluation, online experimentation, distributed systems, production ML systems, relevance evaluation, query understanding, semantic retrieval, vector search, LLM applications, or multimodal search.

Tools

NLP, CV, LLM

AI focus

Apply NLP, computer vision, and LLMs to content and video understanding, search relevance, query matching, personalization, retrieval, ranking, evaluation, and multimodal search.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)