Leading technology company specializing in search, cloud, and AI.
4 Rounds
~21 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
•
Coding
•
medium
Given a 2D grid representing a cluster of TPU v5e pods where '1' is an active pod and '0' is inactive, write an algorithm to find the maximum area of connected active pods. Pods are connected horizontally or vertically.
#Graph Theory
#Depth-First Search
#Breadth-First Search
#Matrix
Machine Learning Engineer
•
Coding
•
hard
Given an array of integers representing the execution times of ML training jobs and an integer K representing the number of available GPUs, partition the jobs to minimize the maximum execution time on any single GPU. Jobs must be scheduled in contiguous subarrays.
#Binary Search
#Greedy Algorithms
#Dynamic Programming
Machine Learning Engineer
•
Coding
•
medium
Implement a custom sparse matrix-vector multiplication (SpMV) algorithm. Assume the sparse matrix is provided in Compressed Sparse Row (CSR) format.
#Linear Algebra
#Data Structures
#Performance Optimization
Machine Learning Engineer
•
Coding
•
hard
Write a function to sample a random node from a massive, distributed graph where you only have access to an API `get_neighbors(node_id)`. You do not know the total number of nodes.
#Randomized Algorithms
#Graph Theory
#Reservoir Sampling
#Markov Chains
Difficulty Radar
Based on recent AI-sourced data.
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.