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Interview questions by company and topic | SysRound

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68 questions

Showing 26–50

Machine learningMedium
Debug an inaccurate patient-message triage classifier service and write up fixes
Companies: Ro.Co
Debugging · Model Evaluation
Open workspace
Machine learningMedium
Deep-dive XGBoost handling and overfitting
Companies: Capital One
Model Evaluation · Supervised Learning
Open workspace
Machine learningMedium
Defend Your Own Research Paper: Experimental Setup, Practicality and Later Work
Companies: Cohere
Model Evaluation · Project Deep Dive
Open workspace

Page 2 of 3

Machine learningHard

Design a production face recognition system

Companies: Capital One

Computer Vision · Model Evaluation

Machine learningMedium

Design a Regression Model for Robust Extrapolation Performance

Companies: Upstart

Model Evaluation · Regression & Statistical Modeling

Machine learningHard

Design classification under missingness and imbalance

Companies: Cvs Health

Model Evaluation · Supervised Learning

Machine learningMedium

Design Siri-vs-GPT query routing

Companies: Apple

ML System Design · Model Evaluation

Machine learningHard

Diagnose and fix underperforming ML model

Companies: Amazon

ML Fundamentals · Model Evaluation

Machine learningHard

Diagnose outliers and influence in linear regression

Companies: Citadel

Model Evaluation · Regression & Statistical Modeling

Machine learningHard

Evaluate and monitor a credit risk model

Companies: Capital One

Model Evaluation · Model Monitoring & Drift

Machine learningEasy

Evaluate NLP Classification Models

Companies: Amazon

Model Evaluation

Machine learningHard

Explain and Reduce Position Bias in Ranking

Companies: Reddit

Model Evaluation · Ranking Models

Machine learningHard

Explain and tune decision trees robustly

Companies: Point72

Model Evaluation · Supervised Learning

Machine learningMedium

Explain AUC, activations, ensembles, and imbalance

Companies: Boston Consulting Group

ML Fundamentals · Model Evaluation

Machine learningMedium

Explain AUC, imbalance, losses, and networks

Companies: Boston Consulting Group

Model Evaluation · Supervised Learning

Machine learningEasy

Explain bias-variance and evaluate a classifier

Companies: Microsoft

ML Fundamentals · Model Evaluation

Machine learningEasy

Explain core ML concepts and metrics

Companies: Amazon

ML Fundamentals · Model Evaluation

Machine learningHard

Explain fraud types and evaluate a fraud model

Companies: PayPal

Model Evaluation · Supervised Learning

Machine learningMedium

Explain Linear Regression to Non-Technical Stakeholders

Companies: Google

Model Evaluation · Regression & Statistical Modeling

Machine learningMedium

Explain metrics, regularization, and ablation studies

Companies: Microsoft

ML Fundamentals · Model Evaluation

Machine learningMedium

Explain ML and LLM fundamentals

Companies: Salesforce

ML Fundamentals · Model Evaluation

Machine learningEasy

Explain overfitting vs underfitting and fixes

Companies: LinkedIn

ML Fundamentals · Model Evaluation

Machine learningHard

Explain precision/recall and compute NN output

Companies: Coinbase

ML Fundamentals · Model Evaluation

Machine learningHard

Explain ROC-AUC vs PR-AUC tradeoffs

Companies: Databricks

Model Evaluation

Machine learningMedium

Find the Flaws in an End-to-End ML Pipeline Case Study Report

Companies: Stackadapt

Feature Engineering · Model Evaluation