How is your fall recruitment going?
ByteDance’s 2024 campus recruitment is in full swing. In order to cheer up students in technical positions, Technology Fans today specially invited technologies in seven directions: algorithm, big data , back-end, audio and video, front-end, Android, and iOS. Interviewer, please highlight the key points for everyone before the exam.
There are not only key knowledge and review materials, but also real interview questions .
In addition, you can also refer to the interview preparation skills summed up by the interviewers from years of interview experience ~
Programming skills must be passed:
● Master common algorithm solution ideas (divide and conquer, recursion, double pointers, etc.)
● Review data structures
● Familiar with arithmetic problems
Basic knowledge should be solid:
● Accurately answer the most common basic theories in the field of machine learning: optimization, statistics, stochastic gradient descent algorithm, etc.
● Understand the principles of classic machine learning algorithms: support vector machines, decision trees, gradient boosting, neural networks, etc.
● Basic knowledge for NLP students: Transformer structure, QKV formula, etc.
● Li Hang’s “Statistical Learning Methods” textbook
● Andrew Ng’s “Machine Learning” course:
https://www.deeplearning.ai/courses/machine-learning-specialization/
● You won’t say no directly. The interviewer focuses on basic qualities and will generally examine candidates based on their accumulated knowledge. They will not fail because the candidate does not understand a specific knowledge point.
● Please explain your project clearly from the beginning to the end, especially the process of overcoming the difficulties of the project, even if the project fails, it doesn't matter.
● If you want to talk about the latest technology, such as SFT/RLHF of large models, langchain source code, etc., please tell us your deepest thinking about it.
Big Data Basics:
●Basic concepts of Hadoop, Spark, and Flink systems
● Task tuning experience
● Given a piece of SQL code, examine the execution plan and optimization ideas on the engine side
Engineering Capabilities:
● A SQL question, I hope you can write it neatly and concisely
● An algorithm question, I hope you can optimize AC
"The Definitive Guide to Hadoop"
DDIA（Designing Data-Intensive Applications）
"Data Warehousing Toolbox"
LeetCode 100+ questions:
https://leetcode.cn/studyplan/top-100-liked/
● Please learn basic knowledge solidly. Don't just memorize the concepts in the book. The important thing is to show your understanding of the knowledge.
● When asked about engineering algorithms in interviews, please fully consider the boundary Lupine.
● After the interviewer asks questions, you can make additional inquiries, understand the context, and show your rigor.
● If you have independently led some innovative projects, such as engine-side semantic conversion tools, data governance tools, automated data attribution tools, etc., please tell me the details and content of these projects.
● Operating system
● Multi-threading, etc.
● Middleware principles/trade-off selection/deployment architecture
● Design and understanding of distributed systems
● Basic knowledge about your commonly used programming languages
DDIA（Designing Data-Intensive Applications）
"Introduction to Operating Systems"
● WITH 6,824：
https://mit-public-courses-cn-translatio.gitbook.io/mit6-824/
● System Design Interview course:
https://www.youtube.com/@SystemDesignInterview
● Compare the design similarities and differences of similar functions, and know why and how to make trade-offs based on business scenarios.
● When learning middleware, it is best to hand-write an MVP version, such as RPC, MQ, etc.
● For a very small problem, you can talk about your understanding, what solutions are available in the industry, and how to weigh different business scenarios.
● If you have had a long-term internship experience, please tell us about what you did.
Video encoding and decoding related knowledge:
● Principle of video encoding
● What are the differences and evolution of 264/265?
● How to measure coding quality
Knowledge and practical experience of video processing frameworks:
● FFmpeg
● GStreamer
GPU related principles and knowledge:
● What is the basic unit structure of GPU?
● Why GPU is suitable for parallel processing
● Which aspects of video processing can be accelerated by GPU?
Knowledge and experience in graphics and images:
● OpenCV
● OpenGL
Streaming media related knowledge and experience:
● RTMP
● HLS
"Detailed explanation of video coding from all angles: AVS China, H.264/MPEG-4 PART10, HEVC, VP6, DIRAC, VC-1 [Video Coding Standard] "
《Mastering OpenCV》
● FFmpeg official information:
https://github.com/FFmpeg/FFmpeg
https://ffmpeg.org/ffmpeg.html
● BabitMF, an open-source multimedia processing project by ByteDance:
https://github.com/BabitMF/bmf
● Try to relax as much as possible and be able to go to the interview session, which means that the previous resume and test session performed well.
● For interview questions, try to answer concisely and to the point, avoid excessive divergence of eloquence, and of course don't be cold.
● You can ask questions appropriately. Questioning is also an important part of interview interaction. If you can ask some constructive and thoughtful questions, the interviewer may look at you differently.
● Don't pretend to be ignorant, otherwise the interviewer will find out.
Network related:
● HTTP caching
●Three handshakes
● Wave four times
Data structure related:
● Array
● hash
● Binary tree traversal method
Front-end basics:
● CSS box model, selector priority
● ES6 syntax
● Prototype chain
Programming questions:
● Front-end scenario questions
● Basic algorithm problems, such as quick sort, depth-first search, dynamic programming, sliding window
《JavaScript
Advanced Programming》
"The Definitive Guide to CSS"
"Sword Pointer Offer"
● Please be honest and clear. We do not require candidates for campus recruitment to master front-end knowledge. If you don’t know front-end but have good basic computer knowledge, it will be great too.
● When introducing your project experience, you can introduce it from three perspectives: design ideas, implementation methods, and how to solve problems encountered.
● When talking about your project experience, please express your thoughts and conclusions.
Basic computer knowledge:
● Data structure (searching and inserting trees and graphs, being able to write bfs and dfs proficiently)
● Multi-threading (common problems and solutions to multi-threading)
● Algorithm questions
Android basics:
● Touch event delivery mechanism
● Android messaging mechanism
● Custom View
● Principles of common components (RecyclerView, etc.)
Business understanding (only for students with internship experience):
● Understanding business scenarios
● Data analysis capabilities
● "Android Plug-in Development Guide"
Although this book was published earlier and the Android version is different, you can try it on the new version of Android code based on his ideas.
● Android open source data set of open-android on GitHub:
https://github.com/open-android/Android
In addition to many video courses, this program also has many project cases and interview questions, all in video form, which is very complete.
● Strengthen the depth of your basic knowledge, be brave enough to try new knowledge, and study in depth.
● Exercise your expression and communication skills. If you can further think and draw conclusions under the guidance of the interviewer when discussing issues during the interview, you are likely to be appreciated by the interviewer.
● Seek truth from facts and recognize your strengths and weaknesses.
● Please put your best project on your resume, showing your own ideas in the project and the process of realizing it.
Because most of the students recruited by the school have not specifically studied iOS development, we hope to see students with a solid technical foundation :
● Computer network technology
● Operating system
● Software architecture, such as C/S and B/S architecture
● Familiar with native programming languages, such as C/C++
iOS related (bonus points):
● Understand the GUI framework, know the operating principles and optimization of GUI
● Understand Web front-end/iOS development
"Operating System Concepts"
"In-depth understanding
computer system"
"computer network:
Top-down approach》
《C++ Primer》
● Regardless of whether you have a professional background or not, I hope you have a solid understanding of the basics of software/Internet/operating systems and answer interview questions based on your understanding.
● I hope that while you have a certain framework/skill accumulation, you can also demonstrate your ability to draw inferences from one example to other cases in engineering practice. Watching tutorials is just the starting point for learning. I hope to see your accumulation of code practice beyond tutorials and books.
● If you encounter a problem that you can't understand at the moment, I hope you can express your thoughts on the problem based on your accumulated knowledge and experience, understanding and analysis skills. Don't be nervous, think proactively, think more and dare to speak is the best.
● Please remember to put your ability into code. In the code/algorithm question section, in addition to describing your own ideas, please also translate your ideas into a programming language you are familiar with.
Can you answer all these real interview questions?
It's not too late to prepare hard now. ByteDance 2024 campus recruitment is underway. Choose your favorite direction and come to ByteDance to inspire creativity~