Machine Learning Engineer Intern (Brand Ads) - 2027 Summer

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.

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 is preferred.