AppLovin

Build high-performance data infrastructure that powers ML model training and feature serving at AppLovin. You’ll optimize distributed pipelines and collaborate with research teams on emerging machine learning systems.

Build full-stack web applications, embedded mobile WebView experiences, and lightweight mini games for Gist, AppLovin’s consumer social app. You’ll own features from implementation through launch while collaborating closely with product, design, and mobile engineering.

Join AppLovin’s ML team as a Summer 2027 intern building and evaluating production machine-learning systems for recommendation, ranking, content understanding, and user modeling. You’ll own a focused project from problem framing through experimentation and potential production deployment.

Build large-scale machine learning systems that improve user signals, ranking, retrieval, and recommendations across AppLovin’s global advertising platform. The role spans ML research, experimentation, production deployment, and performance optimization.

Own strategic partner integrations across CAPI, web SDK, and APIs while troubleshooting complex advertising infrastructure and improving AppLovin’s products. This highly partner-facing forward-deployed engineering role combines technical enablement, data analysis, and hands-on tooling.

Build high-performance, globally distributed ML infrastructure that powers AppLovin’s bidding ecosystem. You’ll optimize model delivery and online performance while partnering with backend engineering and research science teams.