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Machine Learning Engineer Intern - Data-Search-Tiktok Recommendation Team - BS/MS

TikTok

$45 - $60
Aug 13, 2025
San Jose, CA, USA
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TikTok is looking to improve its search engine to provide users with the best search experience by building a full-stack search engine system and combining information retrieval technology with modern machine learning methods.

Requirements

  • Proficient coding skills and strong algorithm & data structure basis
  • Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning
  • Currently pursuing a Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
  • High levels of creativity and quick problem-solving capabilities
  • Familiarity with LLM, NLP, CV, and recommender system
  • Strong understanding of information retrieval technology and modern machine learning methods

Responsibilities

  • Participate in the improvement of the search core algorithm
  • Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query
  • User Behavior Modeling: solving the recommendation problem in search
  • Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding
  • Improving the relevance of TikTok search
  • Increasing the ability of personalization on the basis of 'relevant'
  • Understanding users better

Other

  • Must be able to commit to a 12-week full-time work period during Summer or Fall 2026
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Effective communication and teamwork skills
  • Graduating December 2026 onwards with intent to return to degree-program after the completion of the internship
  • Ability to work in a fast-paced environment and adapt to changing priorities