Machine Learning Engineer Intern (Brand Ads) - 2027 Summer

Public source summary from intern-list.com / Jobright.

TikTok is hiring a Machine Learning Engineer Intern for its Brand Innovation Team. The role focuses on building and optimizing advertising delivery systems and taking products from concept through launch, experimentation, and iteration.

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

Qualifications: Currently pursuing a Bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline Strong coding, debugging, and system design fundamentals Proficiency in Go, C/C++, Java, Python, or similar languages Ability to solve ambiguous problems and make clear 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

Benefits: Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Interns have day one access to health insurance, life insurance, wellbeing benefits and more.

Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.