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Principal Machine Learning Engineer, Agentic AI

Zillow

Recently Verified
AI ResearchReal Estate / PropTechLead (10+ yrs)RemoteBig Tech

Ideal for senior ML researchers wanting to apply agentic AI and LLM expertise to real estate β€” one of finance's largest asset classes.

AI β†’ Finance

Location

Remote, USA

Salary Range

$204,400 – $326,600

Posted

Feb 12, 2026

Insider Signals

Beta
⚑Open 47+ days

This role has been open for 47 days. It may be hard to fill or have selective hiring criteria.

πŸ“ŠActive Hiring

Zillow has had 13 hiring events in the last 30 days β€” they're actively building.

Company AI Context

AI Maturity

established

Tech Stack

pythonlangchainlanggraphagentic-sdkcloud-ml-platforms

Recent News

Zillow launched its AI Copilot for home search in 2025, powered by the Agentic AI team's multi-agent architectures to guide buyers through complex real estate journeys.

Lead development of advanced agentic AI systems at Zillow, building multi-agent architectures that transform how millions of people find their next home.

## About the Role Zillow is seeking a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies that transform the real estate industry. The Agentic AI team is at the forefront of helping millions of people use AI technologies to find their next home. ## Responsibilities - Leverage frameworks like AgentSDK and LangChain/LangGraph to design, prototype, and develop multi-agent systems - Develop perception and language understanding, deep reasoning, and reinforcement learning for AI agent decision-making - Build and deploy GenAI models and agentic AI prototypes at scale - Lead technical direction for foundational AI capabilities - Collaborate cross-functionally with product, design, and engineering teams ## Requirements - Master's degree or equivalent in Computer Science, Machine Learning, or related field - 7+ years of hands-on experience building large-scale ML solutions - Recent focus on agent-based systems and dialogue capabilities - Deep expertise in LLMs, multi-agent architectures, and reinforcement learning - Experience deploying ML systems to production at scale

Skills & Technologies

agentic AILLMsmulti-agent systemsreinforcement learningLangChainPythondeep learning

Best Backgrounds

  • ML research
  • AI engineering
  • NLP
  • reinforcement learning

Related Titles to Explore

  • AI Research Lead
  • Staff ML Engineer
  • Principal AI Scientist
  • Head of AI

Career Bridge Playbook

Beta

Career paths into this role

Senior ML Research Scientist
Principal ML Engineer
AI Research Lead
PhD in CS/AI

Where this role leads

Distinguished Engineer
Head of AI Research
VP of AI/ML

Transition Difficulty

high

Key Skill Gaps to Close

  • agentic AI architecture
  • real estate domain context
  • multi-agent orchestration
  • reinforcement learning for agents

Skills used in this role

Technical

agentic-aillmsmulti-agent-systemsreinforcement-learninglangchainpythondeep-learning

Domain

real-estate-aimultimodal-aiconversational-productai-agent-decision-making

Soft Skills

technical-visioncross-functional-leadershipresearch-communication

Interested in this role?

Apply directly on the company's career page.

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