Zillow

Senior Product Manager to redefine the search, discovery, and evaluation landscape for StreetEasy's buying and renting marketplace. This role will modernize the core experience by integrating AI and deep personalization to create an exceptional end-to-end shopping journey, transforming behavioral signals into growth engines and precision agent matching.

Senior Applied Scientist role focused on building and scaling ML-driven routing and allocation decision systems for Zillow's core marketplace. The role involves full lifecycle ownership of models, balancing customer experience with business value, and ensuring reliability, observability, and explainability in production systems.

Senior Machine Learning Engineer focused on building and shipping production ML models for Zillow's core user experience, including ranking, recommendations, search, and autocomplete. The role involves owning the full model lifecycle, from experimentation to deployment and monitoring, and pioneering the application of deep learning and LLMs to enhance the home shopping experience. Collaboration with cross-functional teams and contribution to ML infrastructure are key aspects.

Senior Applied Scientist role focused on developing and deploying machine learning and computer vision models for Zillow's rich media experiences, specifically for virtual home tours. The role involves framing and solving perception problems, building and iterating on models, developing evaluation pipelines, integrating models into production, and mentoring team members. Experience with real-world data, Python, deep learning frameworks, and shipping production ML systems is required.

Machine Learning Engineer at Zillow Shopping AI to build and own production ML systems for core user experiences like ranking, recommendations, search, and autocomplete. The role involves designing, building, and shipping new ML models, re-architecting ranking systems, owning the full model lifecycle, and pioneering generative AI/LLM applications. Collaboration with cross-functional teams and contribution to ML infrastructure are also key.