AppLovin
AppLovin builds advertising and monetization software for mobile app developers and brands, including the MAX mediation platform and AppDiscovery for user acquisition. It earns revenue through its ad network and software tools that help apps reach, analyze, and monetize large mobile gaming audiences. Founded in 2012 and headquartered in Palo Alto, it is publicly traded on Nasdaq (APP) and also operates the Adjust mobile analytics business and Lion Studios publishing.
Open Positions at AppLovin
6 open positions
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.
Build large-scale recommendation systems that power content discovery, retention, engagement, and monetization for AppLovin’s next-generation social media platform. This role owns recall, ranking, CTR modeling, and multi-objective optimization from experimentation through production deployment.
Build and ship production features for a new social platform during AppLovin’s Summer 2027 internship. You’ll work on iOS or Android experiences spanning content discovery, media, real-time interaction, and creator tools alongside the founding engineering team.
Join AppLovin’s Gist team as a Backend Engineering Intern and help build scalable services, APIs, and social features for a new content discovery platform. You’ll work with experienced engineers on distributed, real-time systems serving millions of users.
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.