How Zillow is building AI for life’s biggest decisions

Описание: Buying a home isn’t a small decision.

It’s often the largest financial choice someone will make. So what does it take to build AI that people can actually trust in that moment?

Kelsey Juraschka, Principal Machine Learning Engineer at Zillow, shares how her team is designing AI systems that support users from search to keys in hand.

We get into:

• What it really means to test non-deterministic systems
• How Zillow approaches agentic AI at scale
• Why evaluation and trust are product requirements, not add-ons
• How AI tools are changing the way engineering teams work
• What kind of mindset actually helps you succeed in AI today

If you're an engineer, product leader, or just curious about how AI works behind the scenes at scale, this one’s for you.

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Chapters:
00:00 Kelsey's journey into tech and machine learning
04:19 Role and responsibilities at Zillow
06:57 Building trust in AI for major life decisions
10:26 Zillow's history with AI and machine learning
14:25 Challenges in designing scalable AI systems
18:44 Impact of AI tools on collaboration and productivity
22:35 Building trust and collaboration in remote work
26:31 Future of Zillow and the housing journey
28:53 Skills and mindset for success in AI

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