interview-preparation

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Curated coding interview preparation materials for busy software engineers

Everything you need to know to get the job.

Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.

List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!

Front End interview preparation materials for busy engineers (updated for 2026)

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.

Algorithms and Data Structures implemented in Go for beginners, following best practices.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

《大厂面试指北》——包括Java基础、JVM、数据库、mysql、redis、计算机网络、算法、数据结构、操作系统、设计模式、系统设计、框架原理。

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.

🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.

Collection of awesome interview references.