want to joinAirbnbProgramhelp has helped hundreds of people get offers from big companies. Programhelp has helped hundreds of people get big company offers. This article will explain Airbnb interviews clearly, with questions and practical advice to help you pass with confidence, and get one step closer to your dream offer!
Airbnb Interview Process
- preliminary screening: HR reviews resumes first and likes to see travel, e-commerce, or technology related experience such as optimizing recommender systems. Then it's a 30-minute phone call to talk about background, job search goals and salary. Resumes should be clear about project results, and career plans should be clear on the phone.
- OA: 60-90 minutes on HackerRank to solve 2-3 algorithmic problems. Brush up on LeetCode medium problems and practice writing code for a limited time.
- face-to-face examination: 1-2 rounds of 45 minutes of algorithmic problems using CoderPad, writing and explaining ideas as you go.
- VO: 4-6 rounds with coding, system design, behavioral and cultural interviews, possibly meeting executives. Keep your thoughts clear and show enthusiasm.
Types of interview questions
- technical post: Algorithms, system design, code optimization.
- cultural fit: Examine whether you share Airbnb's values, such as "mission first" and "being a host."
Airbnb Interview Real Questions
Airbnb is a clear requirement that the code can be run after implementation+run test+answer the followup, so pay attention to it when you interview.
Round 1. Coding Interview
Title Description: Given an M and an N, the zigzag prints out the entire matrix. not the usual horizontal print, so the boundary judgment is more complicated.
Idea: print the matrix in parallel order first, then skip a line and reverse it. It's all O(MN) complexity, and the interviewer starts coding when he thinks it's ok.
Suggestion: focus on preparing algorithms and data structure related topics, especially complex dynamic programming and complex data structures.
Round 2. Two rounds of 45min Coding interviews
Title Description1: You are given a bunch of Airbnb listings, each with id / neighborhood / capacity, and are asked to pick a group of listings in a given neighborhood so that the total capacity ≥ groupSize, and prioritize minimizing the number of listings before minimizing the total capacity (to avoid waste). Return the list of ids of the "optimal listings", or an empty list if there is no solution.
It is actually weighted subset and combinatorial optimization, which requires doing DP/enumeration on both 'quantity minimization' and 'capacity minimization' dimensions at the same time, Hard difficulty
Title Description 2:Given a set of tasks, each task contains id, deadline (days) and reward points, and each task takes one day to complete. Require that the tasks be sequenced so that all tasks are completed by the deadline (deadline including the day) and the total reward points are maximized. Output the order of task completion and the maximum total reward.
The essence is a unit time task scheduling problem with deadline restrictions, a more basic greedy algorithm, before the interviews of different companies encountered three shell topics, the difficulty Medium.
Suggestion: Airbnb pays great attention to algorithmic ability, and it is recommended to practice more difficult questions, so those who want to submit can focus on preparation.
Round 3 System Design Question: Airbnb Listing Search System
Title Description: Design Airbnb's listing search function to process millions of listings data, ensure low latency and high relevance, and support filtering (e.g., price, location).
typical example: Enter "San Francisco, $100-$200, 2 occupants" to output a list of eligible listings.
Ideas for solving the problem: Optimizing search with inverted indexes, distributed caching to reduce latency, and sharded databases to support scaling.
time complexity: Search O(log n), cache hit O(1).
build: Indexing listing data with ElasticSearch, caching popular queries with Redis, and storing listing metadata with MySQL/PostgreSQL.
workflows: User request → API gateway validation → search service query ElasticSearch → sorting (relevance, rating) → return results.
Round 4 behavioral questions
concern::
- Tell me about a project you're most proud of?
- Describe a technical challenge you encountered?
- Do you have remote working experience?
- What are your technical skills and background?
- Questions for the team?
Success Stories
Little Lee's Story: Lee is a UIUC graduate with no internship experience. With the help of Programhelp, he went through Airbnb OA and Onsite and got an SDE Offer with a salary of $500,000 per year!
You're one step away from going ashore.
Airbnb interviews are not easy, but with Programhelp, you can get twice the result with half the effort! ProgramHelp provides a full range of services such as full interview assistance, OA test, VO assistance, interviews on behalf of the interview, etc., and utilizes voice and audio relay technology, which has helped hundreds of people to join top companies.Contact Programhelp Customize your preparation plan or get more interview dry runs and success stories!
