Machine Learning Engineer Intern (Brand Ads) - 2027 Summer
Core
Build and optimize the end-to-end ad delivery tech stack including bidding, ranking, and forecasting for reservation, auction, and content ads.
Role type
Machine Learning Engineer Intern (Ad Delivery)
Builds
Ad delivery systems (bidding, ranking, forecasting) for brand awareness campaigns
Domain
Advertising technology / Large-scale backend systems
Deliverable
production ML models
Required skills
Go, C/C++, Java, Python, system design, debugging, large-scale backend systems, recommendation systems, marketplace optimization
Preferred skills
Ads delivery experience (pacing, bidding, auction, ranking, forecasting), experimentation
Technologies
Go, C/C++, Java, Python
Responsibilities
Build and optimize delivery stack across pacing, allocation, and traffic strategy; Drive products from concept to launch with 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
