Meta interview questions

Showing 361–390 of 666 results

• Evaluating the Impact of Duplicate and Stolen Posts on a Content PlatformMedium

  This question tests the ability to design a measurement framework for evaluating content-quality problems on a large user-generated-content platform. It assesses competency in metric selection, experimentation design, and causal reasoning within the Analytics & Experimentation domain — skills central to data science roles focused on platform health.

  MetaData ScientistAnalytics & ExperimentationTechnical Screen
• Execute Dependency-Constrained Work at ScaleMedium

  This problem tests the ability to design an execution engine that manages task dependencies using a directed acyclic graph (DAG), respects concurrency limits, and handles task failures.

  MetaSoftware EngineerSoftware Engineering FundamentalsOnsite
• Explain ACID and isolation levelsMedium

  This question evaluates a candidate's knowledge of database transactions, the ACID properties (Atomicity, Consistency, Isolation, Durability), and common isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable), testing competency in concurrency control and data consistency.

  MetaSoftware EngineerSoftware Engineering FundamentalsOnsite
• Explain Central Limit Theorem's Importance in A/B TestingEasy

  Evaluates understanding of the Central Limit Theorem and confidence intervals in A/B testing. Strong answers explain sampling distributions, standard error, normal approximations for experiment metrics, caveats for dependence and heavy tails, and compute the 95% confidence interval as [2.902, 3.098].

  MetaData ScientistStatistics & MathOnsite
• Explain Collaboration, Ambiguity, and PrioritizationMedium

  This question assesses a candidate's ability to navigate cross-functional friction, synthesize ambiguous project requirements into actionable tasks, and demonstrate maturity in making trade-offs under pressure.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Explain Your Highest-Impact ProjectMedium

  Tests an experienced engineer's ability to articulate business and technical impact, demonstrate end-to-end ownership, justify complex architectural trade-offs, and quantify measurable outcomes.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Explain Your Motivation for Career Transition and Role InterestMedium

  This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Explain Your Motivation for Career Transition and Role Interest states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaData ScientistBehavioral & LeadershipTechnical Screen
• Explain a Failure and What You ChangedMedium

  This question evaluates your ability to take personal ownership of a significant technical or project failure, analyze root causes without deflecting blame, and implement lasting systemic improvements.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Explain a project’s impact and product thinkingEasy

  This question evaluates a product analyst's product thinking, analytical rigor, experiment design and execution, metric selection and trade-off analysis, and ability to quantify and communicate project impact while demonstrating leadership in end-to-end ownership.

  MetaProduct AnalystBehavioral & LeadershipTechnical Screen
• Explain a recent project and measured impactMedium

  This question evaluates project leadership, technical decision-making, trade-off analysis, cross-functional influence, and the ability to quantify impact with metrics.

  MetaSoftware EngineerBehavioral & LeadershipTechnical Screen
• Explain an AI System You Designed and the Problem It SolvedMedium

  Tests your ability to articulate an end-to-end production AI/ML system you designed, detailing the business justification, technical architecture, evaluation strategy, failure modes, and your individual contributions.

  MetaSoftware EngineerML System DesignTechnical Screen
• Explain behavioral experiences and decisionsMedium

  Explain behavioral experiences and decisions evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Explain the Project You Are Most Proud OfHard

  This question tests your ability to articulate a complex technical contribution, demonstrate ownership through adversity, and communicate impact clearly to a non-expert interviewer.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Explain why IG Story usage exceeds FacebookEasy

  This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Explain why IG Story usage exceeds Facebook states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaData ScientistAnalytics & ExperimentationOnsite
• Explain your main growth areaMedium

  This question evaluates a candidate's self-awareness, growth mindset, and ability to identify and develop specific professional skills or behaviors relevant to leadership, collaboration, and technical role effectiveness.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Extend BFS maze solver with keys and arrowsMedium

  This problem tests your ability to adapt Breadth-First Search (BFS) to a state-space where the current location is augmented by a collection of keys, effectively transforming the grid into a larger, multi-layered graph.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Extend a Maze SolverMedium

  This question evaluates algorithmic problem-solving and software engineering skills, specifically graph traversal (BFS), state-space modeling for keys and doors, handling movement constraints, and debugging an existing codebase within the Coding & Algorithms domain.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Extend cloud file system with copy and compressionMedium

  This question evaluates understanding of data structures and algorithms for stateful resource management, covering bookkeeping of per-user quotas, file metadata operations (copy, compress/decompress), string filtering and sorting, and efficient selection and deletion of largest elements.

  MetaSoftware EngineerCoding & AlgorithmsOnline Assessment
• Fake Accounts [AE]Medium

  This question tests your ability to apply Bayes' Theorem in a low-prevalence classification scenario and your ability to engineer robust signals for detecting anomalous user behavior.

  MetaData ScientistStatistics & MathOnsite
• Fill rooms with nearest gate distancesMedium

  This question evaluates grid-based graph traversal and algorithmic problem-solving skills, including concepts such as multi-source breadth-first search, handling sentinel values, and performing in-place updates.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find A Low-Quality Annotator From Label DataHard

  This problem tests your ability to clean noisy labeling datasets and design metrics to detect annotator bias or performance degradation.

  MetaMachine Learning EngineerData Manipulation (SQL/Python)Onsite
• Find All Binary Tree Nodes Exactly K Edges from a Target NodeMedium

  A binary tree coding problem: given a tree with distinct values, a target node and a distance k, return every node exactly k edges away, including nodes reached by moving up through ancestors. It tests traversal in both directions of a tree, level-order input parsing and careful handling of visited nodes.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find Any Local Minimum with Iterative Binary SearchMedium

  Find the index of any strict local minimum in a nonempty array whose adjacent values differ, using an iterative logarithmic-time algorithm. The task tests search invariants, boundary-as-infinity semantics, singleton and monotone arrays, and correctness when several indices are valid.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find K-th Largest and Longest VacationMedium

  This pair of problems evaluates array manipulation and algorithmic problem-solving skills, specifically order-statistics for selecting the k-th largest element and maximizing consecutive sequences under constrained transformations for the vacation streak problem.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find Kth Largest and Tree AncestorsMedium

  This question evaluates algorithmic problem-solving and data-structure competencies, focusing on selection algorithms and time/space complexity reasoning for the k-th largest element and tree traversal, lowest common ancestor discovery with attention to BST properties, parent pointers, and external-memory constraints.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find Maximum Unique-Character SubsetHard

  This problem tests your ability to use bitmasking and backtracking with pruning to solve a variation of the maximum set packing problem under character constraints.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Find Nearby High Scores in a Large Game LeaderboardHard

  Design a high-scale gaming leaderboard service capable of real-time score updates, deterministic tie-breaking, friend-filtered leaderboards, and efficient "nearby competitor" queries under extreme write loads.

  MetaSoftware EngineerSystem DesignOnsite
• Find Shortest Unique PrefixesMedium

  This problem tests your ability to efficiently manage and query prefix-based string sets using a Trie (prefix tree) data structure.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find Words Containing Other WordsHard

  This problem tests your ability to efficiently identify all words in a list that contain at least one other word from the same list as a substring, utilizing optimized string processing or data structures like Tries.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Find a Local Minimum with Left-Biased Binary SearchMedium

  This problem tests the ability to adapt binary search to identify a local minimum in an unsorted array, focusing on handling boundary conditions and non-strict inequality logic.

  MetaSoftware EngineerCoding & AlgorithmsOnsite