Swiggy
Leading Indian food delivery aggregator with complex real-time logistics.
4 Rounds
~15 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
•
Technical
•
medium
Explain the difference between pointwise, pairwise, and listwise learning to rank. Which approach would you use for Swiggy's dish search, and why?
#Learning to Rank
#Information Retrieval
#NLP
Machine Learning Engineer
•
Technical
•
medium
How do you handle the cold start problem for a newly onboarded restaurant on Swiggy that has no historical order data?
#Recommender Systems
#Cold Start
#Content-based Filtering
#Heuristics
Machine Learning Engineer
•
Technical
•
easy
What is the difference between NDCG and MAP? In what scenario would you prefer one over the other for evaluating search results?
#Evaluation Metrics
#Recommender Systems
#Search
Machine Learning Engineer
•
Technical
•
medium
Why is XGBoost often preferred over Random Forest for tabular data tasks like ETA prediction? Explain the mathematical difference in how they build trees.
#Tree Models
#Ensemble Methods
#Gradient Boosting
Machine Learning Engineer
•
Technical
•
medium
If an offline recommendation model shows a 10% improvement in NDCG, but the online A/B test shows a drop in conversion rate, what could be the reasons?
#A/B Testing
#Evaluation Metrics
#Offline-Online Discrepancy
Machine Learning Engineer
•
Technical
•
easy
In our fraud detection dataset, only 0.1% of transactions are fraudulent. How do you train a robust model on this highly imbalanced data?
#Classification
#Imbalanced Data
#Loss Functions
Machine Learning Engineer
•
Technical
•
medium
What is the difference between AUC-ROC and PR-AUC? Why is PR-AUC generally preferred for evaluating models on highly skewed datasets?
#Evaluation Metrics
#Probability
#Imbalanced Data
Machine Learning Engineer
•
Technical
•
medium
Explain Matrix Factorization in the context of collaborative filtering. What are its main limitations when applied to a fast-changing catalog like Swiggy Instamart?
#Recommender Systems
#Linear Algebra
#ALS
#Collaborative Filtering
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.