Myntra
Fashion e-commerce; ML for search relevance, vision, forecasting and pricing
Interview in a few hours? A quick sprint for Myntra
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How Myntra usually runs it for applied AI and LLM engineer roles.
- Focus: Math, probability, coding basics
Screening test
A short written multiple-choice screen mixing coding, probability and design basics, used to filter for math and coding fundamentals.
- Focus: ML theory, evaluation metrics
ML theory and mathematical modelling
A deep dive into the math behind ML algorithms and how you apply them, with heavy weight on evaluation metrics such as AUC, ROC and precision/recall.
- Focus: ML coding, ML system design
Coding and ML system design
Hands-on coding, which can include implementing an ML algorithm from scratch or a mid-level algorithm problem, followed by designing an ML system and discussing real projects.
- Focus: Project depth, team fit
Hiring manager / leadership round
A conversation with the hiring manager or leadership on your projects, product use-case scenarios and behavioural questions to judge team fit.
How it weights your plan
Selecting Myntra when you build a plan multiplies each topic’s priority score:
Official prep and resources
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