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Visa Inc.

Global payments network; ML for fraud and risk, plus AI model governance

Target this company

Interview in a few hours? A quick sprint for Visa Inc.

AI in interviews

low confidence

Search results quote Visa's careers 'interviewing' page as strictly banning candidate use of AI, third-party tools or self-initiated recording/transcription during interviews, while Visa's interviewers may use Copilot for notes. We couldn't render that text ourselves, so assume no AI in any round and confirm with your recruiter.

Checked 23 Oct 2026Source

Typical interview loop

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

  1. Recruiter screen

    Focus: Background, logistics

    A roughly 30-minute call on your resume and background, plus logistics for the rest of the process.

  2. CodeSignal assessment

    Focus: DSA, speed

    A timed online coding test, about 70 minutes with four algorithm problems; data science versions lean towards SQL and pandas tasks.

  3. Technical screen

    Focus: Live coding, ML projects

    A live interview with Python and SQL coding plus a discussion of machine learning projects you've built.

  4. Virtual onsite: coding, ML and design

    Focus: ML case, system design

    Back-to-back 45-minute sessions with live coding, an ML case study on building and deploying models, and system design for more senior candidates.

  5. Behavioral round

    Focus: Leadership principles

    Every candidate gets a conversational round on culture fit, built around stories that map to Visa's leadership principles.

How it weights your plan

Selecting Visa Inc. when you build a plan multiplies each topic’s priority score:

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

Official prep and resources

Public candidate write-ups

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