Applied Intuition interview questions

Showing 31–48 of 48 results

• Implement and explain positional encodingMedium

  This question evaluates knowledge of positional encoding mechanisms for Transformer language models, covering embedding mathematics, tensor shapes and broadcasting, PyTorch implementation details, expected training and inference symptoms when positional information is omitted, and methods for empirical verification and ablation.

  Applied IntuitionMachine Learning EngineerMachine LearningTechnical Screen
• Locate Cars with a Boolean Square-Scan APIMedium

  Implement and analyze a quadtree-based search algorithm that locates all vehicles on a 2D grid using a Boolean square-scan API.

  Applied IntuitionSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Merge Overlapping Collinear Lane Segments Given as Integer Point ListsHard

  Merge straight lane segments, each given as a list of collinear integer points, so that segments lying on the same line whose extents overlap or touch become one segment containing all of their points. It tests exact collinearity checks, handling of horizontal and vertical segments, and interval merging along each line.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Merge Overlapping Collinear SegmentsHard

  This question evaluates computational geometry and algorithm design skills, focusing on collinearity testing, projecting points onto a line, merging overlapping 1D intervals generalized to arbitrary lines, ordering points along a line, and handling duplicates and edge cases.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Merge Overlapping Straight Fence Runs From a Property SurveyHard

  Collapse a pile of straight fence-line survey readings into one run per physically continuous stretch of fence, by detecting which readings sit on the same infinite line and connect up. Tests exact collinearity detection, correct handling of every orientation, and interval merging per line.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Merge collinear overlapping 2D segmentsMedium

  This problem tests your ability to handle geometric data by identifying and merging overlapping segments that lie on the same infinite line.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Merge overlapping 2D line segmentsMedium

  This problem tests your ability to handle geometric data by sorting and merging 1D intervals that exist within a 2D space, specifically focusing on collinear segments.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Mission motivation and a walkthrough of your school, major and job decisionsMedium

  Two behavioral prompts from one interview loop: a short self-introduction that turns into why the company's mission interests you, and a walkthrough of your school, major and job decisions covering why you chose each, the alternatives you had and what you learned. It tests motivation, judgment and self-reflection.

  Applied IntuitionSoftware EngineerBehavioral & LeadershipOnsite
• Multi-Agent Collision Simulator (Unicycle Kinematics)Medium

  Implement a discrete-time multi-agent simulator using unicycle kinematics and forward Euler integration to track agent trajectories and detect inter-agent collisions.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Parse a protobuf-like schema and answer queriesMedium

  This problem tests your ability to parse a hierarchical schema definition, resolve nested type references using a symbol table, and implement an efficient lookup function for type paths.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Protobuf-Style Schema: Look Up Message Sizes and Field Types, Then Parse the SchemaMedium

  Implement size and field-type lookups over a simplified protobuf-style schema in which messages embed other messages, then write the parser that builds the schema from raw text. Tests schema data modeling, handling of nested, cyclic and unknown message references, clear error behavior, and robust parsing of proto-like definitions.

  Applied IntuitionSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Resolve Dependent Addition EquationsHard

  Implement an equation evaluator that computes the integer values of variables defined in terms of literals and other variables while detecting cycles and undefined references.

  Applied IntuitionBackend EngineerCoding & AlgorithmsTechnical Screen
• Scale Game of Life to huge matricesMedium

  This question tests the ability to optimize grid-based simulations that exceed local memory capacity, focusing on sliding windows, buffer management, and efficient disk I/O.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Scale a Grid Fire-Spread Simulation Past What Fits in MemoryHard

  Scale a working small-grid cellular-automaton fire-spread simulation to a dense multi-million-cell board that no longer fits in memory, by computing each generation with a three-row sliding window read from one file and streamed into another. Tests memory estimation and disk-backed algorithm redesign without changing the core update rule.

  Applied IntuitionSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Track simulations and report timeoutsHard

  This question evaluates competency in algorithms and data-structure design for real-time stream processing, including maintaining per-simulation state, handling time-based expirations, and reasoning about performance and correctness.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Validate JSON against a protobuf-like schemaMedium

  This problem tests your ability to recursively validate a JSON object against a structured schema definition and handle field presence constraints.

  Applied IntuitionSoftware EngineerCoding & AlgorithmsTechnical Screen
• Validate Nested Configuration ObjectsHard

  This question evaluates schema validation skills including recursive data structures, primitive and composite type checking, and structured error reporting for configuration objects, categorized under Coding & Algorithms for a Machine Learning Engineer role and focused on practical implementation.

  Applied IntuitionMachine Learning EngineerCoding & AlgorithmsTechnical Screen
• Walk through a recent project designHard

  This question evaluates the candidate's proficiency in end-to-end system design—covering requirements definition, architecture and component design, data modeling, scalability, trade-off analysis, and operational readiness—within the System Design domain for a software engineer role.

  Applied IntuitionSoftware EngineerSystem DesignTechnical Screen