Google interview questions

Showing 31–60 of 486 results

• Build Classifier: Evaluate with AUROC for Imbalanced DataMedium

  Evaluates classifier design for detecting dead links in imbalanced URL data with leakage-safe validation. Strong answers cover leakage-safe features, grouped validation, AUROC versus accuracy, PR metrics, thresholding, deployment, and monitoring.

  GoogleData ScientistMachine LearningTechnical Screen
• Build Model to Predict Customer Contract RenewalMedium

  Evaluates renewal prediction modeling for enterprise Google Meet contracts. Strong answers define leakage-safe timelines, engineer usage, reliability, support, contract, and customer-health features, compare logistic regression with complex models, and evaluate calibration, lift, and business intervention value.

  GoogleData ScientistMachine LearningTechnical Screen
• Build Prefix Lookup with a TrieMedium

  Tests implementation of a Trie (prefix tree) data structure to support word insertion, exact word search, prefix existence checks, and lexicographical autocomplete suggestions with a capacity limit.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Build a ChatOps Command Dispatcher That Matches Named ArgumentsMedium

  Implement a command dispatcher for a chat ops bot that resolves slash-separated commands with named arguments to a registered handler. Tests trie-based matching, precedence between literal and parameter segments, and handling of ambiguous or dead-end routes.

  GoogleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Build a Custom CompletableFuture: Async Primitive and Parallel Array ProcessingMedium

  Implement a thread-safe asynchronous promise/future primitive with chaining and an aggregate fan-in barrier (`all_of`) for parallel processing.

  GoogleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Build a next-word frequency predictorEasy

  This problem tests your ability to process sequential text data, efficiently store word adjacency frequencies, and retrieve the most likely successor.

  GoogleSoftware EngineerCoding & AlgorithmsOnsite
• Build and evaluate bad-link classifierMedium

  This question evaluates proficiency in applied machine learning classification, including feature design, training a logistic regression, handling severe class imbalance, selecting evaluation metrics and calibration, choosing thresholds under asymmetric costs, and planning offline-to-online validation and monitoring.

  GoogleData ScientistMachine LearningTechnical Screen
• Build and evaluate illegal-video classifierHard

  This question tests the ability to architect an end-to-end classification pipeline for high-stakes, multimodal content moderation while accounting for class imbalance, adversarial evasion, and operational safety.

  GoogleData ScientistMachine LearningTechnical Screen
• Build next-word predictor with O(1) lookupEasy

  This problem tests your ability to design a memory-efficient data structure for storing n-gram probabilities and performing fast lookups for the most likely next word.

  GoogleData ScientistCoding & AlgorithmsOnline Assessment
• Build vs. Buy Decision FrameworkMedium

  Practice a structured build-versus-buy product decision framework. The solution compares build, buy, and hybrid options across strategic differentiation, total cost of ownership, time to market, reliability, maintenance, vendor lock-in, data portability, pilots, stakeholder review, and risk mitigation.

  GoogleProduct ManagerProduct / Decision MakingTechnical Screen
• Busiest Rental CarEasy

  This problem tests your ability to manage state and apply custom sorting logic to simulate resource allocation across time intervals.

  GoogleSoftware EngineerCoding & AlgorithmsOnsite
• Calculate Highway Tolls from Ordered Checkpoint LogsMedium

  Tests tracking vehicle state across interleaved chronological event streams and computing distance-based segment tolls regardless of travel direction or checkpoint repetition.

  GoogleSoftware EngineerCoding & AlgorithmsOnsite
• Calculate Top Countries' Gmail Usage and MoM ChangeMedium

  This question evaluates proficiency in SQL data aggregation, time-based grouping, and analytical window functions for computing month-over-month percentage changes in event volumes.

  GoogleData ScientistData Manipulation (SQL/Python)Onsite
• Calculate User Deviation from Team Average MessagesMedium

  This question evaluates proficiency with pandas group-wise computations, broadcasting of group aggregates, and DataFrame manipulation without renaming columns.

  GoogleData ScientistData Manipulation (SQL/Python)Technical Screen
• Can board states be transformed?Medium

  This problem tests your ability to determine if one board state can be transformed into another using reversible movement rules, requiring the identification of invariants to avoid exhaustive searching.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Can bootstrap help reduce varianceMedium

  This question evaluates understanding of bootstrap resampling, the distinction between estimating an estimator’s variance and methods that actually reduce estimator variance, and related ensemble reasoning for a Data Scientist role in the Statistics & Math domain.

  GoogleData ScientistStatistics & MathOnsite
• Check Whether Digits Are Monotone IncreasingMedium

  Determine if a non-negative integer has digits that are monotonically non-decreasing from left to right, handling edge cases without unnecessary memory allocation.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Check an Interval Against Existing Intervals for ConflictsEasy

  Determine whether a proposed half-open interval overlaps with any interval in an unsorted list. This tests basic interval overlap logic and boundary condition handling.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Check if all substrings are anagrams of wordsMedium

  This question evaluates string-processing skills and combinatorial reasoning about character multisets, specifically anagram recognition, substring enumeration, and the use of efficient representations for repeated checks.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Check if all substrings are dictionary wordsMedium

  This question evaluates string-processing skills such as substring enumeration and membership testing against a dictionary, along with algorithmic reasoning about correctness and complexity.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Choose Fast or Cheap ModelsMedium

  This question evaluates a candidate's competency in ML system design, focusing on balancing cost-versus-latency trade-offs for inference routing, operational metrics, workload segmentation, and reliability.

  GoogleSoftware EngineerML System DesignTechnical Screen
• Choose Non-Overlapping Weighted Jobs to Maximize Total ProfitMedium

  Choose a set of jobs, each with a start time, end time and profit, so that no two chosen jobs overlap and the total profit is as large as possible. It tests sorting intervals, defining an optimal-substructure recurrence, and finding the latest compatible earlier job efficiently for large inputs.

  GoogleSoftware EngineerCoding & AlgorithmsOnsite
• Choose One Blocker Removal for the Fastest Grid SignalsMedium

  Determine at most one obstacle to remove in a grid to minimize the maximum time for signals to reach all target cells from multiple sources.

  GoogleSoftware EngineerCoding & AlgorithmsOnsite
• Choose Your Workplace StyleMedium

  This item evaluates workplace-style competencies such as self-awareness, prioritization, consistency, communication, adaptability, and time-management in a software engineering context.

  GoogleSoftware EngineerBehavioral & LeadershipOnline Assessment
• Choose a North Star Metric for a Malicious-Webpage ClassifierHard

  Choose and measure a malicious-webpage classifier metric using exposure-weighted recall, false-warning guardrails, and unbiased label audits.

  GoogleData AnalystAnalytics & ExperimentationOnsite
• Choose best/worst actions in workplace ethics scenariosMedium

  This question evaluates workplace ethics, confidentiality handling, conflict-of-interest recognition, anti-harassment awareness, integrity, and escalation judgment for software engineers.

  GoogleSoftware EngineerBehavioral & LeadershipOnline Assessment
• Choose optimal guesses for green-only WordleMedium

  This problem tests your ability to model uncertainty and implement a greedy strategy to minimize the expected search space size when provided with restricted (green-only) feedback.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Clarify ambiguous requirements under pressureMedium

  This question evaluates a data scientist's competency in problem understanding and stakeholder clarification, covering active listening, assumption management, requirement elicitation, and cross-functional communication within the Behavioral & Leadership category.

  GoogleData ScientistBehavioral & LeadershipTechnical Screen
• Code Review of a Go Token Bucket Rate Limiter Used as HTTP MiddlewareMedium

  A code review exercise built around a token bucket rate limiter written in Go and used as HTTP middleware. It tests finding the defects that matter in a production web service, deciding what blocks a merge, writing actionable review comments, and proposing a corrected limiter with tests that control time instead of sleeping.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOnsite
• Compare Language-Model Post-Training MethodsHard

  This question tests your conceptual depth in LLM alignment by asking you to differentiate between supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), direct preference optimization (DPO), and group-relative optimization (e.g., GRPO) based on their mathematical objectives and operational characteristics.

  GoogleMachine Learning EngineerMachine LearningTechnical Screen