Sr Software Engineer, AI Experience

About This Role

We are seeking a Sr AI Experience Engineer to build personalization and recommendation systems that make Vivint AI experiences more relevant to each household. This role will be responsible to: - 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. - Design experiments with Product and Analytics, including A/B tests, holdouts, interleaving experiments, contextual bandits, multi-armed bandits, or causal measurement where appropriate. - Deploy and monitor production recommendation systems with attention to latency, reliability, cost, privacy, and customer trust.

Required Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or - Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering - Experience with ranking, retrieval, recommendation, personalization, or learning-to-rank systems - Strong Python, SQL, data engineering, and production ML skills - Experience with embeddings, behavioral datasets, online/offline evaluation, and experimentation - Experience deploying ML systems into production with CI/CD and monitoring - Strong communication skills and ability to partner with product, analytics, design, and engineering teams

Preferred Qualifications

- Experience with collaborative filtering, content-based recommendations, two-tower models, sequence models, or deep learning recommenders - Experience with feature stores, vector retrieval, model serving, contextual bandits, or reinforcement learning - Experience optimizing engagement, retention, click stream, notification relevance, customer satisfaction, or conversion metrics - Experience with GenAI recommenders, RAG, AI memory, or agentic personalization - Experience with smart home, IoT, security, energy, mobile, or device telemetry data

Pay

The base salary range for this position is: $153K (min) - $185K (max)