ML Engineer Intern — Ad Tech Delivery & Growth

TikTok; San Jose (CA); On-site; USD 62,000 - 83,000; Full time

Benefits offered by this job

Health insurance

Wellbeing benefits

Housing allowance

10 paid holidays per year

Paid sick time

Life insurance

Job summary

TikTok offers a campus internship in California with the Brand Innovation Team to work on ad delivery technologies, including pacing, bidding, auction, and forecasting. Interns collaborate with Product and cross-functional teams to translate business goals into scalable delivery strategies and system designs.

Applicants should be pursuing an Undergraduate or Master’s degree in software development or related fields, and demonstrate strong coding, debugging, and system design fundamentals with

Qualifications

• Currently pursuing an Undergraduate/ Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong coding, debugging, and system design fundamentals.
• Experience with large-scale backend, recommendation, or advertising systems.

Responsibilities

• Build delivery systems across pacing, bidding, auction, traffic allocation, and delivery controls.
• Drive products from concept to launch with Product, Strategy, and XFN 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 issues and drive fast iteration.

Skills

Go

C/C++

Java

Python

System design

Problem solving

Cross-functional

Backend systems

Education

Undergraduate or Master’s degree in Software Development / CS

Job description

TikTok offers a campus internship in California with the Brand Innovation Team to work on ad delivery technologies, including pacing, bidding, auction, and forecasting. Interns collaborate with Product and cross-functional teams to translate business goals into scalable delivery strategies and system designs.

Applicants should be pursuing an Undergraduate or Master’s degree in software development or related fields, and demonstrate strong coding, debugging, and system design fundamentals with