Search Engine Intern: Build Core IR & ML Systems

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 52,000 - 72,000

Full time

8 days ago
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Benefits offered by this job

Health insurance
Housing allowance
Paid holidays
Wellbeing benefits

Job summary

TikTok USDS Joint Venture LLC is offering a 12-week internship on the USDS Search Team to build and own TikTok's search engine. You will work with ML, NLP, and IR techniques to enhance search quality and user experience on a full-stack scale.

The program provides hands-on industry exposure, opportunities to apply knowledge to real-world challenges, and social learning events. Applicants should include start and end dates in their resumes and be available Summer 2027.

Qualifications

  • Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
  • Able to commit to a 12-week internship during Summer 2027.
  • Experience in developing and implementing large-scale consumer-facing services/products and/or building backend services for large-scale consumer-facing applications.
  • Proficiency in languages including C/C++, Python, Java or Golang.
  • Effective team communication and collaboration skills.

Responsibilities

  • Optimize the searching quality to provide TikTok's users the best search experience.
  • Combine understanding of product objectives with modern ML and information retrieval techniques to improve search quality.
  • Build core systems and algorithms including query understanding, result ranking, query recommendation, and system reliability.

Skills

Backend services
Large-scale systems
Machine learning
Information retrieval
NLP/IR
C/C++
Python
Teamwork

Education

Bachelor's degree in CS/CE/SE
Master's degree in CS/CE/SE

Job description

TikTok USDS Joint Venture LLC is offering a 12-week internship on the USDS Search Team to build and own TikTok's search engine. You will work with ML, NLP, and IR techniques to enhance search quality and user experience on a full-stack scale.

The program provides hands-on industry exposure, opportunities to apply knowledge to real-world challenges, and social learning events. Applicants should include start and end dates in their resumes and be available Summer 2027.

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