Technical interview replays and deep-dive commentary, with engineers from the world's best companies: Google, Meta, OpenAI, and many more
Whiteboard Confidential
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15 episodes
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Podcast Overview
Technical interview replays and deep-dive commentary, with engineers from the world's best companies: Google, Meta, OpenAI, and many more
Language
🇺🇲
Publishing Since
8/7/2025
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Recent Episodes
December 5, 2025
Longest Consecutive Sequence: Go Interview with a FAANG Engineer
<p>A candidate works through three algorithmic problems in Go during a mock interview with a senior FAANG engineer. This mock touched on correctness, complexity tradeoffs, implementation clarity, and communication — the core signals real interviewers evaluate.🧩 Problem 1 — Longest Consecutive Sequence (Unsorted Array)Design an O(n) solution using a hash set to identify sequence starts and expand. Covers duplicate handling, boundary detection, and correctness reasoning without sorting.🧩 Problem 2 — Binary Tree Level Order TraversalClassic BFS over tree nodes, using a queue and level-by-level batching. Discussion includes space complexity, queue growth, and common implementation pitfalls.🧩 Problem 3 — Cutting Trees on a Cliff (Grid Stability / Connectivity)After removing one tree, determine which remaining trees are still connected to the bottom row. Involves multi-source BFS/DFS from stable nodes, component tracking, and correctness guarantees for 4-directional connectivity.</p><p>Key skills demonstrated• Translating verbal reasoning into clean Go implementations• Maintaining communication while coding (a major FAANG evaluation axis)• Applying BFS/DFS patterns across trees and grids• Identifying optimal vs. suboptimal approaches via time/space analysis• Handling interviewer hints and recalibrating solutions• Ensuring correctness through example-driven verification👉 Book coaching or watch more mock interviews: https://www.interviewing.io📝 Interview transcript & feedback: https://interviewing.io/mocks/faang-go-longest-consecutive-sequence🔗 Explore more FAANG interviews: https://www.interviewing.io/mocksDisclaimer: All interviews are shared with explicit permission from the interviewer and interviewee. All candidates remain anonymous.</p>
November 18, 2025
Binary Tree Views & Closest Pair Problem: Python Mock Interview with a Meta Engineer
<p>REPLAY EPISODE: A candidate takes on two Meta-style interview problems—one array, one binary tree—and a Senior Meta engineer breaks down their performance step by step.In this Meta-style mock coding interview, a candidate is put through two challenging problems that test practical reasoning, optimal data structures, and clear communication — exactly what real Meta interviewers look for.🧩 Problem 1: Given a sorted array of positive integers and a target k, find the pair whose sum is closest to k.(A classic Meta-style twist on two-pointer optimization problems.)🧩 Problem 2: You’re given the root of a binary tree. If one person stands on the left side and another on the right side, return the nodes visible to both of them — left view (bottom → top) followed by right view (top → bottom).(A unique combination of tree view and traversal-order reasoning.)Watch how the candidate breaks down both problems like in a real Meta onsite:✅ Identifies the optimal O(n) two-pointer strategy✅ Handles tricky edge cases with clean logic✅ Designs a combined traversal strategy for dual tree views✅ Codes efficiently under pressure✅ Gets detailed feedback from a Senior Meta engineer💡 What you’ll learn:• Two-pointer patterns Meta loves to ask• How left/right tree views work and how to combine them• How to structure reasoning during a high-pressure interview• What great communication looks like in a real FAANG interview👉 Sign up to book coaching or watch more mock interviews: https://www.interviewing.io📝 Interviewer feedback & transcript: https://interviewing.io/mocks/facebook-python-closest-pair-sum🔗 Explore more Meta interviews: https://www.interviewing.io/mocks?company=metaDisclaimer: All interviews are shared with explicit permission from the interviewer and the interviewee. All candidates remain anonymous.</p>
November 11, 2025
Personalized Newsfeed system: ML System Design Interview with a Google Engineer
<p>REPLAY EPISODE: In this Google machine learning system design interview mock, a candidate tackles a personalized newsfeed recommendation system — the kind of large-scale ML challenge that real Google engineers face.</p><p><br></p><p>🧩 Problem: Design an ML system that ranks and recommends posts in a user’s feed by predicting engagement (likes, comments, shares) in real time.</p><p><br></p><p>Watch how the candidate approaches it like a real interview:</p><p>✅ Clarifies goals, scope, and constraints for a production ML system</p><p>✅ Defines the ML objective and key features (user, content, interaction)</p><p>✅ Chooses and explains a two-tower deep learning architecture with multitask learning</p><p>✅ Discusses tradeoffs in retrieval, ranking, latency, and scalability</p><p><br></p><p>💡 What you’ll learn:</p><p>• How to approach ML system design questions in Google interviews</p><p>• How to connect engagement metrics to ML objectives</p><p>• What a two-tower recommendation model looks like in production</p><p>• How top candidates communicate complex ML ideas clearly</p><p><br></p><p>👉 Watch more interviews or book ML interview coaching: https://www.interviewing.io</p><p><br></p><p>📝 See the full transcript and interviewer feedback:https://interviewing.io/mocks/google-machine-learning-personalized-newsfeed-system</p><p><br></p><p>🔗 More Google interviews:https://interviewing.io/mocks?company=googleDisclaimer: All interviews are shared with explicit permission from both the interviewer and the interviewee, and all interviews are anonymous. interviewing.io has the sole right to distribute this content.</p>
15 total episodes available with 11 transcripts
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