This role focuses on building personalization and recommendation systems for Vivint's AI experiences. You will design and deploy production ML systems including ranking, retrieval, and candidate generation, while partnering with Agentic AI teams. The position requires strong Python and SQL skills and experience with embeddings, experimentation, and CI/CD.
Responsibilities
Design and build personalization, recommendation, ranking, retrieval, candidate-generation, and re-ranking systems.
Develop household, user, device, event, and context representations using behavioral signals, embeddings, feedback, and product telemetry.
Build feedback loops from searches, dismissals, saves, notification engagement, customer actions, and product usage.
Partner with Agentic AI and AI Platform teams to connect short-term context, long-term memory, retrieval, and personalization.
Braze is a customer engagement platform that enables businesses to deliver multichannel marketing campaigns. The cloud-based software helps brands connect with consumers in real-time through various digital communication channels.