Build large-scale user-signal feature pipelines and production machine learning models for advertising targeting, bidding, and ranking. Own the full lifecycle from data preparation and feature engineering through training, deployment, monitoring, online serving, and A/B testing. Develop identity prediction, embeddings, intent, and conversion models; integrate outputs into real-time ads systems; improve signal quality; and provide technical leadership across Ads, Data, and Infrastructure teams.

Own a merchant-acquisition initiative for a home services platform, including market and territory research, self-sourced outreach, pipeline development, negotiation, onboarding, conversion analysis, business case creation, and weekly reporting. The intern will engage local service providers, track outreach metrics, develop partnership proposals, and present recommendations to leadership. This is a remote, outcome-focused internship requiring independent execution, quantitative analysis, and confident communication.