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Zillow

Real-estate marketplace; ML for home valuation, search and recommendations

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Interview in a few hours? A quick sprint for Zillow

AI in interviews

low confidence

No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.

Checked 23 Oct 2026Source

Typical interview loop

How Zillow usually runs it for applied AI and LLM engineer roles.

  1. Recruiter call

    Focus: Background, logistics

    An initial screen with a recruiter about your background and the role before any technical step.

  2. Online technical assessment

    Focus: Coding fundamentals

    Engineering candidates are screened early with an automated coding assessment on the CodeSignal platform.

  3. Technical screen

    Focus: Coding, edge cases

    A live coding round with an engineer where a working solution, clarifying questions and reasoning about where your code could fail are all assessed.

  4. Project and ML case discussion

    Focus: Model choice, applied ML

    You explain past projects, why you chose particular models and their trade-offs, then write ML code to solve a small applied prediction case.

  5. Final round

    Focus: Coding depth, communication

    A remote block of about four interviews, reported as three coding-focused sessions and one qualitative conversation.

How it weights your plan

Selecting Zillow when you build a plan multiplies each topic’s priority score:

Coding+30%
ML fundamentals+10%
Transformers-10%

Official prep and resources

Public candidate write-ups

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