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Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
- 9403
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- 546
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- 11
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Showing 5221–5250 of 9403 results
- MetaMediumSoftware EngineerImplement paginated, sortable dynamic table component
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Implement paginated, sortable dynamic table component states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsTechnical Screen - MetaMediumSoftware EngineerImplement range-sum tree and sort merged lists
Implement range-sum tree and sort merged lists 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.
Coding & AlgorithmsOnline Assessment - MetaMediumSoftware EngineerImplement right side view and local minimum search
This question evaluates a candidate's understanding of binary tree traversal and array local-minimum detection, measuring skills in data structures (binary trees and arrays), algorithm design, and algorithmic time-complexity analysis.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerImplement sparse vector dot product
Meta's sparse vector dot product question asks you to design a SparseVector class that stores only non-zero entries and computes dot products in time proportional to the number of non-zeros rather than the full vector length. It tests sparse data representation, two-pointer vs. hash-map trade-offs, and time/space complexity analysis.
Coding & AlgorithmsOnsite - MetaMediumSoftware EngineerImplement string dedup and mirror tree traversal
This question evaluates string-processing and tree-traversal algorithm skills, focusing on efficient group-deletion and streaming-capable string dedup operations and a mirrored boundary traversal of binary trees, and it tests algorithmic design, complexity guarantees, and correctness/termination reasoning.
Coding & AlgorithmsTechnical Screen - MetaMediumSoftware EngineerImplement string sum and weighted city picker
Implement string sum and weighted city picker 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.
Coding & AlgorithmsTechnical Screen - MetaMediumMachine Learning EngineerImplement the Forward Pass of Multi-Head Attention From Scratch
An ML coding question that asks for the forward pass of multi-head attention from scratch. It tests query, key and value projections, splitting and merging heads, scaled dot-product attention with a stable softmax, causal and padding masks, complexity in sequence length, and self-made correctness checks.
Machine LearningTechnical Screen - MetaMediumSoftware EngineerImplement tree column grouping and minimal parentheses fixes
This question evaluates proficiency in tree and string algorithms, specifically binary tree traversal and coordinate-based column grouping with ordering/tie-breaking semantics, as well as string processing for minimal-parentheses deletion, and probes competence with data structures, streaming/online processing, correctness guarantees, and in-place space management. It is commonly asked in the Coding & Algorithms domain to assess algorithmic reasoning, implementation-level trade-offs and complexity analysis, testing both conceptual understanding of ordering and correctness and practical application skills such as achieving linear-time and space-efficient solutions and scaling to large inputs.
Coding & AlgorithmsOnline Assessment - MetaMediumSoftware EngineerImplement weighted random index picker
Implement weighted random index picker 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.
Coding & AlgorithmsOnsite - MetaMediumMachine Learning EngineerImplement weighted random sampling with preprocessing
This problem tests your ability to optimize weighted random selection using binary search on prefix sums, balancing preprocessing time against query latency.
Coding & AlgorithmsOnsiteProbabilityBinary SearchPrefix Sum - MetaHardSoftware EngineerImplement, Debug, and Optimize a React Table
Implement, Debug, and Optimize a React Table evaluates requirements, assumptions, structured reasoning, trade-offs, and verification in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsTechnical Screen - MetaMediumSoftware EngineerInfer an Unknown Alphabet Order
This question evaluates a candidate's competency in graph-based reasoning, inference of ordering constraints from sequences of strings, and algorithmic manipulation of characters and relations.
Coding & AlgorithmsOnsite - MetaMediumData ScientistInterpreting confidence intervals to choose a treatment
Evaluates confidence-interval interpretation for choosing among feed-ranking treatments with engagement losses. Strong answers compare statistical significance, magnitude, uncertainty, business thresholds, downside risk, and launch recommendations.
Analytics & ExperimentationOnsite - MetaHardData ScientistInvestigate Reasons for Higher Instagram Story Consumption
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.
Analytics & ExperimentationOnsite - MetaEasyData ScientistInvestigate why an advertiser’s spend decreased
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.
Analytics & ExperimentationTechnical ScreenRoot Cause AnalysisMetrics DecompositionAdTech - MetaHardData ScientistJustify building a new feature with evidence
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.
Analytics & ExperimentationOnsite - MetaHardData ScientistLead a product deep dive with quantified impact
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.
Behavioral & LeadershipOnsite - MetaMediumProduct ManagerLocal Home-Repair Marketplace Inside Meta's Apps: Connecting Homeowners With Handymen
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.
Product Design & StrategyOther - MetaMediumSoftware EngineerLongest Balanced Substring in a String of Parentheses
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.
Coding & AlgorithmsOnsite - MetaHardMachine Learning EngineerMachine Learning Fundamentals: Optimizers, Scaling Laws, and Clustering
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.
Machine LearningOnsiteOptimizersScaling LawsClustering - MetaMediumSoftware EngineerMap Random Tickets to Population-Weighted Cities
Map deterministic tickets to cities in proportion to their population weights by building cumulative ranges and locating each possibly repeated ticket efficiently.
Coding & AlgorithmsTechnical Screen - MetaMediumMachine Learning EngineerMasked Multi-Head Attention Forward Pass Without a Framework
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.
Machine LearningTechnical Screentransformersattentionnumerical-stability - MetaMediumData ScientistMaster Behavioral Interview Questions for Data/ML Roles
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.
Behavioral & LeadershipOnsite - MetaMediumSoftware EngineerMaximize Letters from Disjoint Words
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.
Coding & AlgorithmsTechnical ScreenBit ManipulationBacktrackingRecursion - MetaMediumSoftware EngineerMaximize Unique Characters from Words
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.
Coding & AlgorithmsOnsite - MetaMediumSoftware EngineerMaximize number with one digit swap
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.
Coding & AlgorithmsOnsite - MetaMediumMachine Learning EngineerMaximize one stock trade profit
This question evaluates algorithm design skills for single-pass array processing, streaming data handling, and time/space complexity analysis within the Coding & Algorithms domain.
Coding & AlgorithmsOnsite - MetaMediumSoftware EngineerMaximize score in 15-sum card game
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.
Coding & AlgorithmsOnsiteRecursionMemoizationBacktracking - MetaMediumMachine Learning EngineerMaximize unique characters from a word list
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.
Coding & AlgorithmsOnsiteBacktrackingBitmaskingRecursion - MetaMediumSoftware EngineerMeasure Forty-Five Minutes with Two Unevenly Burning Ropes
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.
Statistics & MathTechnical Screen
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