Principal Machine Learning Engineer, Agentic AI

Zillow
100d$199,000 - $318,000

About The Position

Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making. As a Principal Machine Learning Engineer on the Agentic AI team, you will 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. You will also leverage advanced GenAI models including reasoning models, real-time voice API, etc., to build agentic prototypes and later convert them into product-level agentic skills and deploy to users. This role has been categorized as a Remote position, allowing employees to work from a physical location of their choice within the U.S.

Requirements

  • A master's degree or above in Computer Science, Electrical Engineering, or a related field.
  • 7+ years of hands-on work building large-scale, high-impact solutions.
  • Experience developing dialogue systems capable of long conversations and multi-step reasoning.
  • Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions.

Nice To Haves

  • A track record of publishing high-impact research in top AI/ML venues.

Responsibilities

  • Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems.
  • Build agentic prototypes using advanced GenAI models and convert them into product-level agentic skills.
  • Mentor and guide engineers in using the right technologies for agentic AI solutions.
  • Distill complex research findings and system designs into actionable insights for diverse audiences.
  • Drive product innovation by remaining on the cutting edge of agentic AI emerging paradigms.
  • Serve as the focal point for applied science projects, driving alignment on timelines and prioritization.
  • Refine processes for experimentation, A/B testing, and production rollouts.

Benefits

  • Comprehensive medical, dental, vision, life, and disability coverages.
  • Parental leave and family benefits.
  • Retirement contributions.
  • Paid time off.
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