Zillow

Senior Machine Learning Engineer on the Agentic AI team at Zillow, focused on developing large-scale, fault-tolerant multimodal agentic experiences for millions of customers. The role involves designing interaction modes (Voice AI, Deep Research), pioneering evaluation frameworks, tracing systems, and safety guardrails, and converting emerging agentic paradigms into product innovation. It requires leading complex initiatives, bridging research and engineering, and distilling complex findings for diverse audiences.

Principal Machine Learning Engineer on the Agentic AI team to develop large-scale, fault-tolerant multimodal agentic experiences, design agent interaction modes (Voice AI, Deep Research), pioneer evaluation frameworks, tracing systems, and safety guardrails, and lead multi-team initiatives bridging research and engineering.

Principal Applied Scientist role focused on RL post-training for production models. Leads design and deployment of learning systems to shape model behavior, aligning with user value, safety, and business objectives. Involves supervised fine-tuning, preference modeling, RL-based alignment (RLHF, RLAIF, DPO), reward model development, and translating data into training signals. Partners with model/platform teams on training/evaluation efficiency and mentors other scientists.

Senior Applied Scientist on the Agentic AI team at Zillow, focusing on researching and developing advanced LLM-powered reasoning systems for real estate. The role involves prototyping, evaluating, and deploying agents capable of deep, multi-step reasoning, accurate tool use, and contextual decision-making, with a focus on improving reliability and quality through evaluation frameworks and post-training techniques.

The Principal Machine Learning Engineer on the Agentic AI team at Zillow will develop advanced multimodal foundational technologies, focusing on prototyping, evaluating, and deploying models into production. This role involves building multi-agent systems with deep reasoning, perception, and language understanding capabilities, leveraging frameworks like AgentSDK and LangChain/LangGraph. The engineer will also work with GenAI models, real-time voice APIs, and ensure high availability and low latency for AI services.

The Shopping AI team at Zillow is looking for an Applied Scientist to drive the next generation of ranking, recommendation, and generative AI systems for Zillow's home-shopping experience. This role involves researching, designing, and deploying innovative machine learning models, including LLM-based retrieval and RAG-style systems, to improve user discovery and interaction with homes. The scientist will lead the full model lifecycle from ideation to deployment and monitoring, collaborating with cross-functional teams and leveraging large-scale data systems.

Machine Learning Engineer on the Agentic AI team, focusing on designing, building, and productionizing domain-specialized AI capabilities for Zillow's real estate experiences. The role involves advancing multi-step reasoning, structured synthesis, and tool-grounded intelligence for AI agents operating in live customer environments.

The Connections AI team at Zillow is building intelligence and decisioning systems to help real estate agents and loan officers operate as a coordinated team. This role focuses on building foundational systems that convert behavioral, conversational, and operational signals into shared intelligence and actionable recommendations. The work involves real-time signal ingestion, data understanding, ranking, prediction, decisioning, and agentic execution, leveraging LLMs, agentic AI, and classical ML. The primary focus is on propensity, ranking, prediction, and decisioning systems, with selective use of Generative AI.

Senior Machine Learning Engineer to anchor the Agentic Data Foundations team, responsible for designing and building scalable, robust foundational infrastructure that empowers AI teams. The role involves architecting, deploying, and optimizing ML infrastructure, serving as a liaison between data platforms and applied AI teams, and mentoring engineers. Requires strong experience in ML fundamentals, agentic patterns, and large-scale data/ML infrastructure.

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.