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Indeed

Job site using ML for search, ranking and job matching at huge scale

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Interview in a few hours? A quick sprint for Indeed

AI in interviews

low confidence

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

Checked 25 Oct 2026Source

Typical interview loop

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

  1. Recruiter conversation

    Focus: Role fit and process

    A recruiter walks through the role, team and benefits, explains which stages follow, and answers your questions.

  2. Technical screen (Karat)

    Focus: CS basics, live coding

    An hour with a third-party Karat interviewer: a few CS fundamentals questions, then several live coding problems.

  3. Whiteboard coding

    Focus: DSA and explanation

    Data-structures and algorithms problems where explaining the concepts matters more than flawless code.

  4. Programming exercise (ProgEx)

    Focus: Clean, complete working code

    A roughly 105-minute solo build of a small work-like program after a short requirements chat, with interviewers off camera, then a debrief.

  5. Code review and resume deep dive

    Focus: Code quality, ownership

    You comment on a small pull request as if it were a teammate's, and separately discuss your background, projects and technical challenges.

  6. Final conversation

    Focus: Leadership-level fit

    Some candidates finish with a conversation with a senior leader before the decision.

Topics to prepare for Indeed

The topics its loop weighs most, each with what interviewers check and what to study.

How it weights your plan

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

Coding+30%
Behavioral+20%
System design+10%

Official prep and resources

Public candidate write-ups

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