Senior Machine Learning Engineer

Zillow Zillow · Consumer · United States · Remote

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.

What you'd actually do

  1. Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers
  2. Design and develop multiple agent interaction modes, including Voice AI and Deep Research.
  3. Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible
  4. Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation
  5. Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering

Skills

Required

  • Master's degree or equivalent experience in Computer Science, Electrical Engineering, or related field
  • 5+ years of experience deploying large-scale ML models
  • 2-3 years building agent-based systems, multi-agent collaboration, or similar paradigms
  • Experience developing engaging dialogue systems
  • Experience building AI services with high availability, low latency, and robust fault tolerance
  • Familiarity with agentic AI frameworks (e.g., LangGraph, Agents SDK, AutoGen)
  • Familiarity with production ML infrastructure
  • Strong communication skills

Nice to have

  • Track record of writing articles, patents, and publishing high-impact research

What the JD emphasized

  • building agent-based systems
  • multi-agent collaboration
  • production ML infrastructure
  • frontier multimodal LLMs

Other signals

  • Develop large-scale, fault-tolerant multimodal agentic experiences
  • Design and develop multiple agent interaction modes, including Voice AI and Deep Research
  • Pioneer robust evaluation frameworks, tracing systems, and safety guardrails
  • Convert emerging agentic paradigms into tangible product innovation
  • Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering