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Machine Learning Engineer 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
- Topics
- 8
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Showing 1–30 of 108 results
- AdobeMediumMachine Learning EngineerDetermine if a multiple-sum subarray exists
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Determine if a multiple-sum subarray exists states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnsite - AirbnbMediumMachine Learning EngineerMinimize exact layover bookings
This problem tests your ability to use dynamic programming to determine if a specific target sum can be achieved using a subset of given item values and how to find the minimum subset size that hits that target.
Coding & AlgorithmsOnsiteDynamic ProgrammingOptimizationAlgorithms - AirbnbMediumMachine Learning EngineerRedact Document Phrases with Simultaneous Replacement
Redact document phrases with a replacement map, whole-word matching, longest-match overlap rules, and one-pass replacement of original text.
Coding & AlgorithmsOnsite - AirbnbMediumMachine Learning EngineerSolve Decimal Coin Change
This question evaluates proficiency in dynamic programming for coin-change problems and competency in numerical precision and safe handling of decimal monetary values in algorithmic implementations.
Coding & AlgorithmsOnsite - AnthropicMediumMachine Learning EngineerConvert State Stream to Events
This question tests the ability to process a stream of state changes, group consecutive identical values into distinct event intervals, and filter these events based on duration.
Coding & AlgorithmsOnsiteArraysData ProcessingAlgorithms - AnthropicMediumMachine Learning EngineerImplement a web crawler using a provided API
This problem tests your ability to design a multi-threaded web crawler that efficiently traverses a site while respecting domain constraints and avoiding redundant work.
Coding & AlgorithmsOnsiteConcurrencyGraph TraversalBFS - AnthropicMediumMachine Learning EngineerImplement an extensible prefix tree
This question evaluates the ability to design and implement an extensible prefix tree (trie), covering competencies in Unicode-aware string handling, memory and time optimization, concurrency or thread-safety considerations, and support for operations like insert, search, startsWith, countPrefix and erase.
Coding & AlgorithmsOnsite - AppleMediumMachine Learning EngineerImplement Kubernetes Service Dependency Queries
This question evaluates proficiency with data structures and algorithms for service inventory operations, including deterministic filtering, attribute matching, graph traversal for transitive dependency resolution, and status propagation across service graphs.
Coding & AlgorithmsOnsite - AppleMediumMachine Learning EngineerImplement permutations and image retrieval
This question evaluates algorithmic implementation and computational thinking across combinatorics, image processing, and vector similarity—specifically testing permutation generation, 2D convolution with explicit boundary handling, and nearest-neighbor retrieval for image embeddings.
Coding & AlgorithmsOnsite - AppleMediumMachine Learning EngineerSolve stock and banana problems
This question evaluates algorithmic problem-solving skills related to array processing, optimization under constraints, and reasoning about performance trade-offs by presenting a maximum single-transaction stock profit problem and a minimum banana-eating speed problem.
Coding & AlgorithmsOnsite - AtlassianMediumMachine Learning EngineerAssign bookings to minimum tennis courts
This problem tests your ability to manage overlapping time intervals using a greedy approach, specifically requiring the calculation of the maximum number of concurrent bookings to determine the minimum resource count.
Coding & AlgorithmsOnsiteGreedySortingIntervals - AtlassianHardMachine Learning EngineerCompute a moving average on a stream
This problem tests your ability to maintain a running average over a sliding window of size K in a high-throughput streaming environment while managing numerical precision and memory efficiency.
Coding & AlgorithmsOnsiteAlgorithmsData StructuresStreaming - AtlassianMediumMachine Learning EngineerCompute inverse-depth weighted sum of a nested list
This problem tests your ability to traverse nested list structures using recursion or iterative stacks and compute a value based on the nesting depth of individual elements.
Coding & AlgorithmsOnsiteRecursionTreesData Structures - AtlassianMediumMachine Learning EngineerCompute moving average over last N stream
This question evaluates understanding of streaming algorithms and sliding-window aggregation within the Coding & Algorithms domain, focusing on incremental computation, state management, and numerical stability when computing moving averages.
Coding & AlgorithmsOnsite - AtlassianMediumMachine Learning EngineerDesign O(1) cache and moving average
This problem tests your ability to maintain constant-time complexity for both cache management and sliding-window statistics by using a combination of a doubly-linked list and hash maps.
Coding & AlgorithmsOnsiteLRU CacheData StructuresSliding Window - AtlassianMediumMachine Learning EngineerFind LCA in a tree and extend to a DAG
This problem tests your understanding of tree traversal, graph theory, and how to generalize path-finding algorithms from trees to directed acyclic graphs (DAGs).
Coding & AlgorithmsOnsiteGraphsLCATrees - AtlassianHardMachine Learning EngineerFind a secret word using match feedback
Design an optimal querying strategy to identify a secret word from a candidate vocabulary using exact-match character feedback under a strict query budget.
Coding & AlgorithmsOnsiteAlgorithmsMinimaxInformation Theory - ByteDanceHardMachine Learning EngineerCount Special Subarrays by Modular Frequency
This question evaluates the ability to apply modular arithmetic, frequency tracking, and prefix-count reasoning to efficiently count subarrays that satisfy a congruence condition, testing algorithmic problem-solving and scalable complexity management.
Coding & AlgorithmsOnsite - Capital OneMediumMachine Learning EngineerReturn all root-to-leaf tree paths
This question evaluates competence with binary tree structures, path enumeration and traversal techniques along with the ability to represent traversal results as formatted strings.
Coding & AlgorithmsOnsite - CohereMediumMachine Learning EngineerImplement Autoregressive Decoding Strategies
This problem tests your ability to implement common sequence decoding strategies used in large language models by manipulating token probability distributions.
Coding & AlgorithmsOnsiteLLMSamplingSoftmax - CoinbaseMediumMachine Learning EngineerWrite SQL to rank top products per category
This question evaluates SQL proficiency in aggregation, time-based filtering, joining transactional and reference tables, and ranking/windowing techniques to compute and deterministically order product revenue with tie-breaking by product_id.
Coding & AlgorithmsOnsite - DatabricksMediumMachine Learning EngineerDelete a Character From Cover
This problem tests your ability to manage dynamic string indices by maintaining a set of active intervals and adjusting them efficiently after a character deletion.
Coding & AlgorithmsOnsiteStringsIntervalsArrays - DoorDashMediumMachine Learning EngineerFind closest value to a target in a BST
This question evaluates understanding of binary search tree properties and numeric approximation, measuring competence in tree traversal, comparison logic, and algorithmic efficiency under input-size constraints.
Coding & AlgorithmsOnsite - FigmaMediumMachine Learning EngineerImplement Layer History and Grid Counting
This question tests state management through a Command pattern implementation for undo/redo operations and spatial reasoning using depth-first search (DFS) to identify connected components in a 2D grid.
Coding & AlgorithmsOnsiteDesign PatternsStackGraphs - FurtheraiMediumMachine Learning EngineerMerge Overlapping Closed Intervals Into a Sorted Disjoint List
A coding question that merges an unsorted list of closed integer intervals into disjoint intervals sorted by start. Intervals that overlap or merely touch at an endpoint must be combined, so it tests exact endpoint semantics, transitive merges, and nested or duplicate intervals.
Coding & AlgorithmsOnsite - GleanMediumMachine Learning EngineerDecide If a Passenger Can Reach a Station Using Time-Indexed Train Routes and Transfers
Given trains described as time-indexed lists of stations, decide whether a passenger starting at one station at time zero can reach another by riding, waiting and transferring. Tests modeling station and time as search states, handling waits and same-time transfers, and breadth-first search over a time-expanded graph.
Coding & AlgorithmsOnsite - GleanMediumMachine Learning EngineerFind Earliest Train Route
This question evaluates a candidate's ability to model and search time-dependent transit networks, combining temporal graph reasoning, state-space search, and path reconstruction for itinerary reporting.
Coding & AlgorithmsOnsite - GleanMediumMachine Learning EngineerImplement Rate-Limited Wikipedia Crawler
This question evaluates a candidate's ability to implement a rate-limited web crawler, testing skills in crawl frontier management, prioritization by page-title initial, deduplication, rate limiting, and robust error handling.
Coding & AlgorithmsOnsite - GoogleMediumMachine Learning EngineerCompute sum over consecutive-step subarrays
This problem tests your ability to identify contiguous subarrays that follow an arithmetic progression with a common difference of 1 (consecutive steps) and calculate the sum of elements within these subarrays efficiently.
Coding & AlgorithmsOnsiteArraysMathSliding Window - GoogleHardMachine Learning EngineerSolve several streaming, DAG, and DP tasks
Implement an ML pipeline optimization engine that calculates critical path latency and peak parallelism for a task DAG, and optimizes streaming checkpoint placement under sliding-window constraints using dynamic programming.
Coding & AlgorithmsOnsiteDAGDynamic ProgrammingSliding Window
Adobe
Airbnb
Anthropic
Apple
Atlassian
Capital One
Cohere
Coinbase
Databricks
DoorDash
Figma
Glean
Google