Zillow is looking to transform the real estate industry by developing advanced multimodal foundational technologies, including perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making.
Requirements
- A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing
- 7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms
- Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making
- Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
- A track record of publishing high-impact research in top AI/ML venues is a big plus
- Experience with LLM models, either from OpenAI or open source
- Experience with large-scale engineering
Responsibilities
- Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions
- Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users.
- Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production.
- Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage
- Distill complex research findings and system designs into actionable insights for diverse audiences—including executives
- Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation
- Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization
Other
- A master's degree or above, equivalent experience
- 7+ years of hands-on work experience
- Must be able to work from a physical location of their choice, which must be identified to the Company
- U.S. employees may live in any of the 50 United States, with limited exceptions
- Must be willing to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions
