Generative AI Research Intern: Vision & ML

TikTok

San Jose (CA)

On-site

USD 68,000 - 97,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid holidays
Housing allowance (non-remote)

Job summary

TikTok is seeking Research Interns in computer vision and machine learning for a 12-week internship in the United States. Candidates should be pursuing a PhD and have a strong research background in CV/ML, with publications in leading conferences.

The program offers hands-on learning, mentorship, and exposure to cutting-edge research alongside industry experts. Interns will work on scalable features, collaborate with researchers, and contribute to TikTok products.

Qualifications

  • Commit to working 12 weeks during 2027.
  • Currently pursuing a PhD in Computer Science or a related technical discipline.
  • Strong track record of research in computer vision, graphics or ML; publications preferred.
  • Highly competent in algorithms and programming.
  • Able to work independently and collaborate with the team.

Responsibilities

  • Conduct cutting-edge research in computer vision and ML and deliver advanced technologies.
  • Build world-class web applications and collaborate with researchers to deliver features.
  • Work with Research Scientists to advance TikTok products.
  • Contribute to building monetization platforms and large-scale systems.
  • Join engineering teams to touch hundreds of millions of users.

Skills

Programming
Algorithms
Research
Independent work
Team collaboration

Education

PhD in Computer Science or related field

Tools

Python
C++
Git

Job description

TikTok is seeking Research Interns in computer vision and machine learning for a 12-week internship in the United States. Candidates should be pursuing a PhD and have a strong research background in CV/ML, with publications in leading conferences.

The program offers hands-on learning, mentorship, and exposure to cutting-edge research alongside industry experts. Interns will work on scalable features, collaborate with researchers, and contribute to TikTok products.

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