Applied Scientist, Shopping AI
Core
Research, design, and deploy machine learning models for ranking, recommendation, and generative AI systems to power Zillow's home-shopping experience.
Role type
Applied Scientist (ML Research & Deployment)
Builds
Personalized search, ranking, recommendations, and generative AI features for Zillow's consumer apps and websites.
Domain
Real Estate / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Machine learning model design and training, Python, PyTorch, TensorFlow, search/information retrieval, personalized ranking/recommender systems, generative AI/LLM-based systems, distributed data systems (Spark, Hive, Databricks), hypothesis formation and experiment design
Preferred skills
Large language models (LLMs), RAG-style systems, deep learning architectures
Technologies
PyTorch, TensorFlow, CatBoost, scikit-learn, Hugging Face, Spark, Hive, Databricks, Airflow
Responsibilities
Research and prototype new ML models for search, ranking, and notifications; lead the full model lifecycle from ideation to online deployment and A/B testing; develop novel modeling approaches including LLMs; optimize home display relevance and context; collaborate with engineers and product teams on project execution.
Seniority
Mid-to-Senior, hands-on IC
