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eBay

Online marketplace; ML for search and recs, plus in-house e-commerce LLMs

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Interview in a few hours? A quick sprint for eBay

AI in interviews

high confidence

You may use AI to practise and prepare, and to polish your résumé, but not during interviews or assessments: eBay says AI can't generate your answers or complete an assessment for you.

Checked 23 Oct 2026Source

Typical interview loop

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

  1. Recruiter / HR screen

    Focus: Background, motivation, logistics

    An introductory call, usually over Zoom, about your background, goals, languages you work in and practical points such as relocation.

  2. ML concepts and hands-on coding

    Focus: ML basics, applied Python

    A live session mixing classic ML questions, such as classification and evaluation metrics, with practical Python work like preparing data, training a simple model and measuring it.

  3. Take-home assignment

    Focus: Problem solving, presentation

    Some teams set a longer take-home problem and then ask you to present and explain your solution.

  4. System design

    Focus: Scalable systems, trade-offs

    A design discussion that one candidate found leaned toward general distributed-systems scaling (storage partitioning, latency, throughput) rather than ML-specific design.

  5. Team and hiring-manager interviews

    Focus: ML case reasoning, team fit

    Conversations with the hiring manager and future teammates, which for ML roles can include case-style questions about applying ML to a problem; a debrief or panel then reviews structured feedback.

How it weights your plan

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

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

Official prep and resources

Public candidate write-ups

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