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Uber

Marketplace ML at scale: pricing, ETAs, Eats recommendations, Michelangelo

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Interview in a few hours? A quick sprint for Uber

AI in interviews

high confidence

AI tools (chatbots, answer generators, code autocomplete) are not allowed in interviews unless your recruiter says otherwise. Some technical rounds may supply an AI agent inside the coding environment, and you'll be told ahead of time if so.

Checked 20 Oct 2026Source

Typical interview loop

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

  1. Recruiter or sourcer call

    Focus: Background, level, motivation

    A 30-minute virtual chat about your background, the role and the level you're being considered for.

  2. Technical phone screen

    Focus: Coding plus design thinking

    A 60-minute online round that combines a coding problem with design and architecture discussion.

  3. Coding 1: algorithms and data structures

    Focus: DS&A, idiomatic, testable code

    A 60-minute round on general, domain-free problems where you're expected to write testable code and say what you would test.

  4. Coding 2: depth in specialization

    Focus: Applied ML coding depth

    A 60-minute coding round on a problem like your ML work, such as modifying a provided project or implementing something from scratch.

  5. Design and architecture

    Focus: System and ML design

    For mid-level and above, a design round on a new problem; senior levels add a walkthrough of a system you previously built.

  6. Collaboration and leadership

    Focus: Collaboration, ownership, values

    A 60-minute behavioral round scored against Uber's competencies, success attributes and values.

How it weights your plan

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

Coding+30%
System design+20%
Behavioral+10%
AI coding round-20%

Official prep and resources

Public candidate write-ups

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