> For the complete documentation index, see [llms.txt](https://longxingtan.gitbook.io/mle-interview/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://longxingtan.gitbook.io/mle-interview/readme.md).

# 前言

📚中文面试指南，针对海外、外企、大厂CS岗位。

* 适用岗位：软件工程师(SDE)、机器学习工程师(MLE)、数据科学家(DS)、应用科学家(AS)、AI工程师、数据工程师
* 面试沟通：**逻辑通顺，框架思维，突出重点**
* 免费书籍：<https://longxingtan.gitbook.io/ml-interview/>

## 📖 面试内容

### 机器学习工程师 / 数据科学家(模型)

| Chapter   | Content                                                         |
| --------- | --------------------------------------------------------------- |
| Chapter 1 | [Data Structures and Algorithms](/mle-interview/01_leetcode.md) |
| Chapter 2 | [ML Breadth / Depth](/mle-interview/02_ml.md)                   |
| Chapter 3 | [ML System Design](/mle-interview/03_system/03_ml.md)           |
| Chapter 4 | [Behavioral Question](/mle-interview/04_bq.md)                  |

### 软件工程师 / 开发工程师

| Chapter   | Content                                                         |
| --------- | --------------------------------------------------------------- |
| Chapter 1 | [Data Structures and Algorithms](/mle-interview/01_leetcode.md) |
| Chapter 2 | [System Design](/mle-interview/03_system.md)                    |
| Chapter 3 | [Behavioral Question](/mle-interview/04_bq.md)                  |
| Chapter 4 | [Object Oriented Design](/mle-interview/03_system/01_ood.md)    |

### 数据科学家(分析)

| Chapter   | Content                                                                |
| --------- | ---------------------------------------------------------------------- |
| Chapter 1 | [Statistical and Causal Inference](/mle-interview/02_ml/00_ml_math.md) |
| Chapter 2 | [ML Breadth / Depth](/mle-interview/02_ml.md)                          |
| Chapter 3 | [Product Sense](/mle-interview/02_ml/97_product_sense.md)              |
| Chapter 4 | [SQL](/mle-interview/01_leetcode/99_sql.md)                            |

### 数据工程师

| Chapter   | Content                                                         |
| --------- | --------------------------------------------------------------- |
| Chapter 1 | [Data Structures and Algorithms](/mle-interview/01_leetcode.md) |
| Chapter 2 | [SQL](/mle-interview/01_leetcode/99_sql.md)                     |
| Chapter 3 | [Object Oriented Design](/mle-interview/03_system/01_ood.md)    |
| Chapter 4 | [Behavioral Question](/mle-interview/04_bq.md)                  |


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://longxingtan.gitbook.io/mle-interview/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.