Senior Machine Learning Engineer
About The Position
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates personalized user insights with Zillow’s knowledge. This lean, customer-focused team of engineers independently ships features and has the autonomy to move fast and make decisions. As a Senior Machine Learning Engineer on the Agentic Artificial Intelligence team, you will get to: Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers. Design and develop multiple agent interaction modes, including Voice AI and Deep Research. Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible. Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation. Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering. Distill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teams.
Requirements
- A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field, with emphasis on building products using frontier multimodal LLMs
- 5+ years of experience with a proven track record of deploying large-scale ML models, with the most recent 2-3 years building agent-based systems, multi-agent collaboration, or similar paradigms
- Experience developing engaging dialogue systems capable of long conversations, context-aware tool selection, and compliant response generation
- Experience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
- Familiarity with various agentic AI frameworks, such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure
- Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership
Nice To Haves
- A track record of writing articles, patents, and publishing high-impact research is a strong plus
Responsibilities
- Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers
- Design and develop multiple agent interaction modes, including Voice AI and Deep Research
- Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible
- Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation
- Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering
- Distill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teams
Benefits
- equity awards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
