Principal Machine Learning Engineer
@ Zillow

Hybrid
$250,000
Hybrid
Full Time
Posted 1 day ago

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Job Details

About The Team

The Agentic AI team at Zillow is pioneering AI technology in real estate. The team combines expertise in science and engineering to deliver cutting-edge AI solutions, ensuring efficiency and a delightful customer experience.

About The Role

As a Principal Machine Learning Engineer on the Agentic AI team, you will design and deploy advanced multimodal foundational technologies including perception, language understanding, deep reasoning, and reinforcement learning to enhance AI agent decision-making.

  • Leverage frameworks like AgentSDK and LangChain/LangGraph for multi-agent system design.
  • Prototype and develop agentic systems using advanced GenAI models.
  • Mentor engineers and guide technology selections for responsible AI usage.
  • Translate complex research into actionable insights for diverse audiences.
  • Continuously refine experimentation, A/B testing, and production rollouts.

Salary & Benefits

This role offers a competitive base salary with additional equity awards. Salary ranges are location specific.

Who You Are

You are a hands-on engineer with 7+ years of experience, a strong background in AI/ML, and a passion for building large-scale, impactful systems that integrate state-of-the-art technology with robust engineering.

Get to Know Us

Zillow is transforming real estate through digital solutions making home buying seamless. It is recognized for its employee benefits and inclusive, innovative culture.

Key skills/competency

  • Machine Learning
  • Agentic AI
  • Reinforcement Learning
  • LLM Models
  • Multi-agent Systems
  • Deep Reasoning
  • Prototyping
  • Scalable Infrastructure
  • Mentorship
  • Responsible AI

How to Get Hired at Zillow

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI and ML project experience.
  • Showcase real projects: Demonstrate large-scale deployment skills.
  • Research Zillow: Understand their culture and mission.
  • Prepare for technical rounds: Review agentic AI and reinforcement learning topics.

📝 Interview Preparation Advice

Technical Preparation

Review multi-agent frameworks.
Study reinforcement learning basics.
Practice scalable AI deployments.
Refine coding in Python.

Behavioral Questions

Discuss past project challenges.
Explain mentorship experience.
Showcase problem-solving skills.
Detail teamwork in complex projects.

Frequently Asked Questions