Machine Learning Engineer Intern (Brand Ads) - 2027 Summer
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Jul 31, 2026. TikTok scores B on the Alion truth index.
岗位职责 / Responsibilities
The Brand Innovation Team builds technologies that unlock business growth potential. This team owns several ad products: reservation ads, auction ads, and innovative content ads that enable advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ad delivery tech stack, including ad bidding, ranking, and forecasting.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
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.
任职要求 / Requirements
Minimum 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 is preferred.
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