Meta interview questions

Showing 481–510 of 666 results

• Investigate Reasons for Higher Instagram Story ConsumptionHard

  Evaluates diagnostic analytics for explaining why Instagram users consume more Stories than Facebook users. Strong answers validate metric parity, decompose supply and demand drivers, use cohort and within-user comparisons, and propose experiments for UI, ranking, content, or notification hypotheses.

  MetaData ScientistAnalytics & ExperimentationOnsite
• Investigate why an advertiser’s spend decreasedEasy

  This question tests your ability to systematically isolate the root cause of a drop in advertising spend by decomposing metrics and evaluating external versus internal factors.

  MetaData ScientistAnalytics & ExperimentationTechnical Screen
• Justify building a new feature with evidenceHard

  This question evaluates a data scientist's product analytics, experimental design, and strategic decision-making skills, covering market sizing, competitive analysis, privacy-aware data and infrastructure assessment, risk identification, and A/B testing planning.

  MetaData ScientistAnalytics & ExperimentationOnsite
• Lead a product deep dive with quantified impactHard

  This question evaluates product leadership, product analytics, experimentation, and impact-measurement competencies for a Data Scientist, emphasizing problem framing, metric definition, trade-off reasoning, risk mitigation, and the ability to quantify and communicate end-to-end results.

  MetaData ScientistBehavioral & LeadershipOnsite
• Local Home-Repair Marketplace Inside Meta's Apps: Connecting Homeowners With HandymenMedium

  A Meta product design question about creating a product inside Meta's apps that helps people find and hire a handyman for home repairs and small jobs. It tests segmentation on both sides of a local services marketplace, trust and safety thinking, use of Meta's social and messaging strengths, prioritization, and success metrics.

  MetaProduct ManagerProduct Design & StrategyOther
• Longest Balanced Substring in a String of ParenthesesMedium

  A Meta coding interview problem: given a string made only of opening and closing parentheses, return the length of the longest contiguous substring that is correctly balanced. It tests careful handling of matched pairs, unmatched characters that break a run, and efficient processing of long inputs.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Machine Learning Fundamentals: Optimizers, Scaling Laws, and ClusteringHard

  Tests deep conceptual mastery of modern ML core foundations: AdamW vs. Adam weight decay mechanics, compute-optimal Chinchilla scaling laws, and the mathematical equivalence between Hard Expectation-Maximization in GMMs and k-means clustering.

  MetaMachine Learning EngineerMachine LearningOnsite
• Map Random Tickets to Population-Weighted CitiesMedium

  Map deterministic tickets to cities in proportion to their population weights by building cumulative ranges and locating each possibly repeated ticket efficiently.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Masked Multi-Head Attention Forward Pass Without a FrameworkMedium

  Implement batched multi-head self-attention by hand, including projections, head split and merge, scaled dot products, a numerically stable masked softmax, and causal and padding masks, then prove it correct with tests you design yourself. Tests shape discipline and attention fundamentals.

  MetaMachine Learning EngineerMachine LearningTechnical Screen
• Master Behavioral Interview Questions for Data/ML RolesMedium

  Master Behavioral Interview Questions for Data/ML Roles 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.

  MetaData ScientistBehavioral & LeadershipOnsite
• Maximize Letters from Disjoint WordsMedium

  This problem tests your ability to use recursion with backtracking and bit manipulation to find the maximum number of unique characters that can be formed by a subset of mutually disjoint words.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Maximize Unique Characters from WordsMedium

  This question evaluates a candidate's ability to reason about combinatorial constraints and set disjointness while maximizing unique coverage, testing competencies in algorithm design, combinatorics, and constraint-based optimization.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Maximize number with one digit swapMedium

  Maximize number with one digit swap evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details 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 EngineerCoding & AlgorithmsOnsite
• Maximize one stock trade profitMedium

  This question evaluates algorithm design skills for single-pass array processing, streaming data handling, and time/space complexity analysis within the Coding & Algorithms domain.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Maximize score in 15-sum card gameMedium

  This problem tests your ability to use memoized recursion or dynamic programming to explore state spaces in a combinatorial game where you must decide which cards to remove to maximize your total score.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Maximize unique characters from a word listMedium

  This problem tests your ability to use recursion with backtracking or bitmasking to find the optimal subset of strings that maximize the total count of unique characters.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Measure Forty-Five Minutes with Two Unevenly Burning RopesMedium

  Measure exactly 45 minutes using two ropes that each burn for 60 minutes but at unpredictable rates. The reasoning must rely only on lighting rope ends and observing completion events, never on assuming that half a rope represents half the time.

  MetaSoftware EngineerStatistics & MathTechnical Screen
• Measure Game Monetization and Validate a Reporting RepairMedium

  Define gaming monetization metrics, separate business changes from data failures, and validate repairs with reconciliation and guardrails.

  MetaData EngineerAnalytics & ExperimentationTechnical Screen
• Measure Harmful Content Impact with Key MetricsMedium

  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 Measure Harmful Content Impact with Key Metrics states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaData ScientistAnalytics & ExperimentationTechnical Screen
• Measure a friend-recommendation launchMedium

  This question evaluates experiment design, metric selection, causal inference and business-metric translation for social features, including defining primary and guardrail metrics, choosing experimental units to mitigate network interference, and estimating revenue impact from observed lifts.

  MetaData ScientistAnalytics & ExperimentationOnsite
• Measure and mitigate notification spamMedium

  This question tests the ability to design an experimentation framework for notification systems while accounting for user fatigue, long-term ecosystem health, and signal interference.

  MetaData ScientistAnalytics & ExperimentationTechnical Screen
• Measure impact of bot mitigation via experimentHard

  This question evaluates experiment design and causal inference skills for platform analytics, covering interference management, metric and guardrail definition, power and duration calculations, eligibility and exclusions, novelty/adaptation considerations, and diagnostics for bot‑mitigation interventions.

  MetaData ScientistAnalytics & ExperimentationOnsite
• Measure scheduled posts feature successMedium

  This question evaluates proficiency in Bayesian statistical estimation, experimental design, product metric definition, and causal/confounder analysis for measuring feature reliability and engagement.

  MetaData ScientistAnalytics & ExperimentationOnsite
• Merge Two Lists of Non-Overlapping IntervalsMedium

  This question evaluates a candidate's ability to merge two pre-sorted, non-overlapping interval lists into a single consolidated set, a core array and two-pointer/merging skill in coding interviews. It tests correct handling of edge cases like touching endpoints versus true gaps, assessing precision in interval logic and algorithmic reasoning under linear-time constraints.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Merge customers and preserve historyHard

  A Meta software-engineer system-design take-home: implement mergeCustomers(oldId, newId) for a payments/ledger platform, absorbing one customer into another while preserving every account's balance and immutable transaction history. Tests identity unification, ownership remap, conflict/duplicate resolution, top-N leaderboard maintenance, atomicity, concurrency, idempotency, and complexity analysis.

  MetaSoftware EngineerSystem DesignOnline Assessment
• Merge overlapping intervalsMedium

  This problem tests your ability to manipulate array-based data by sorting and performing linear sweeps to consolidate overlapping ranges.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Merge two interval lists into a unionMedium

  This question evaluates a candidate's ability to implement interval merging algorithms, reason about edge cases such as touching boundaries, empty inputs, and invalid intervals, and perform time and space complexity analysis.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Meta PM Interview QuestionsHard

  Practice a mixed PM onsite loop with strategy, data, product design, architecture, analytics, technical leadership, and failure reflection prompts. The solution guide shows how to structure each case, ask clarifying questions, choose metrics, make trade-offs, and give practical recommendations.

  MetaProduct ManagerProduct / Decision MakingOnsite
• Meta Pay: Metrics & PrioritizationMedium

  Practice Meta Pay PM metrics and prioritization with North Star definition, metric tree, split-bill versus donations trade-offs, and debugging flat adoption despite lower cost per transaction. The solution covers active payers, transaction success, trust, risk, unit economics, feature strategy, and decomposition analysis.

  MetaProduct ManagerProduct / Decision MakingOnsite
• Minimum Round-Trip Flight CostMedium

  This question evaluates a candidate's ability to optimize over paired sequences using array traversal and running-minimum tracking, a core array-processing technique in coding interviews. It tests practical application of single-pass optimization under an ordering constraint rather than brute-force pairwise comparison, commonly used to assess algorithmic efficiency and edge-case handling.

  MetaSoftware EngineerCoding & AlgorithmsOnsite