Brand Ads ML Engineer Intern - Summer 2027

TikTok

San Jose (CA)

On-site

USD 62,000 - 83,000

Full time

21 hours ago
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Job summary

TikTok is seeking a Machine Learning Engineer Intern for Brand Ads in San Jose for Summer 2027. This internship offers hands-on work on the end-to-end ad delivery stack, from pacing and bidding to forecasting, with opportunities to collaborate across Product and Strategy teams.

Strong coding and system design skills, plus experience with ads or backend systems, are highly valued. You will contribute to building scalable delivery strategies and own parts of the design, implementation, and

Qualifications

  • Pursuing a bachelor’s degree in a technical field.
  • Strong coding, debugging, and system design fundamentals.
  • Experience with Go, C/C++, Java, Python or similar languages.
  • Ability to solve ambiguous problems and make engineering trade-offs.
  • Strong cross-functional communication and collaboration skills.
  • Experience with large-scale backend, recommendation, or advertising systems.
  • Hands-on ads delivery experience in pacing, bidding, auction, ranking, forecasting or marketplace optimization preferred.

Responsibilities

  • Build and optimize the delivery stack across pacing, allocation, traffic strategy, and delivery controls.
  • Drive products from concept to launch with Product, Strategy, and cross-functional partners.
  • Turn business goals into scalable delivery strategies and system designs.
  • Own technical design, implementation, experimentation, launch, and iteration.
  • Use data and experiments to diagnose problems and drive fast iteration.

Skills

Go
C/C++
Java
Python
System design
Debugging
Cross-functional collaboration
Ads systems experience

Education

Bachelor's degree in Software Development / Computer Science / Computer Engineering

Job description

TikTok is seeking a Machine Learning Engineer Intern for Brand Ads in San Jose for Summer 2027. This internship offers hands-on work on the end-to-end ad delivery stack, from pacing and bidding to forecasting, with opportunities to collaborate across Product and Strategy teams.

Strong coding and system design skills, plus experience with ads or backend systems, are highly valued. You will contribute to building scalable delivery strategies and own parts of the design, implementation, and

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