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InMobi

Mobile ad-tech group behind Glance; ML for real-time bidding and AI shopping

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Interview in a few hours? A quick sprint for InMobi

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 InMobi usually runs it for applied AI and LLM engineer roles.

  1. Recruiter screen

    Focus: Background, business-line fit

    A recruiter conversation about your background, goals and pay expectations, and which business line (InMobi ads, Glance or Roposo) you fit.

  2. Online coding test

    Focus: DSA, SQL

    A timed online test of data-structure problems, with SQL also tested for ML and data roles.

  3. Technical rounds: coding and ML

    Focus: ML algorithms, project depth

    Two or so technical interviews that mix live coding with deep dives into ML algorithms, model choice under ad-serving latency limits and the projects on your resume.

  4. Leadership / technical head round

    Focus: Architecture, ownership

    A senior technical leader checks how you'd drive a project end to end and how you think about ML systems at InMobi's scale.

How it weights your plan

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

ML fundamentals+30%
Coding+20%
Inference+20%
System design+10%

Official prep and resources

Public candidate write-ups

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