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Booking.com

Travel booking platform; heavy A/B testing, ML for ranking and pricing

Target this company

Interview in a few hours? A quick sprint for Booking.com

AI in interviews

high confidence

Booking.com discourages real-time AI use in interviews, coding tasks and online assessments where you're meant to work alone (no hidden tabs, phone prompts or earpieces) and asks you not to record or transcribe interviews with AI. Some technical roles include a controlled exercise that tests how you work with AI; using AI to prepare is encouraged.

Checked 23 Oct 2026Source

Typical interview loop

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

  1. Online assessment

    Focus: Coding fundamentals

    A HackerRank test before or just after first contact, usually a coding task, sometimes mixed with multiple-choice questions.

  2. Recruiter call

    Focus: Background, motivation

    A phone call with a sourcer or recruiter about your career history, skills, expectations and motivation for the role.

  3. Coding interview

    Focus: DSA, communication

    A live coding round, typically in Python, where clarifying the problem and explaining your reasoning count as much as the answer.

  4. ML case study (scientist track)

    Focus: Problem framing, experimentation

    A business case built around a typical travel-marketplace problem, where you frame it as an ML task and choose metrics, with heavy probing on A/B testing and experiment design.

  5. System design (engineer track)

    Focus: Large-scale design, trade-offs

    A design round on large-scale systems for travel products, judged on the trade-offs you make.

  6. Culture fit / behavioral

    Focus: Values, ownership

    A final conversation about values such as ownership, customer focus and teamwork, often with many follow-up questions.

How it weights your plan

Selecting Booking.com when you build a plan multiplies each topic’s priority score:

Evals+30%
System design+20%
ML fundamentals+20%
Transformers-20%

Official prep and resources

Public candidate write-ups

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