Machine learning job interview summary: five key points that resume should pay attention to

Bloggers based on some interview experience in machine learning positions , Summarize what resume should pay attention to in machine learning position 5 A point

One 、 Some tips of machine learning resume

Nowadays, it is difficult for companies to find excellent machine learning talents . Of course , The requirements of any particular skill depend on the purpose and requirements of the machine learning project , However, some skills that you must have in your machine learning resume are consistent in various project requirements . Usually , The company hopes that the interviewees have rich machine learning skills , Theory and coding ability , In order to be able to participate in machine learning projects across departments when needed .

Experts in this field not only need to have a solid level of machine learning algorithms , Know when to apply what algorithm , You also need to master how to integrate and interface . The core skills required are specialized , Good mathematical understanding is required , Ability to analyze thinking and solve problems . Although the specific skills required by each project document are different , But for all roles , The core machine learning skills are unchanged .

Two 、 Skills that must appear on your resume

1. Probability and Statistics

Probability theory is the main content of most machine learning algorithms . Familiarity with probability enables you to deal with the uncertainty of data . If you are engaged in machine learning related to model building and evaluation , Master such as Python, Gaussian mixture model and hidden Markov model equal probability theory , It's very necessary .

Closely related to probability theory is data statistics . It provides the measures needed to build and validate the model , Distribution and analysis methods . It also provides tools and techniques for creating models and testing assumptions .

Together, they form the framework of machine learning model . This is the first thing to consider when making a machine learning resume .

2. Computer science and data structures

Machine learning uses a large number of data sets , Therefore, we must master the basic knowledge of computer science and underlying architecture , You must also have professional knowledge in big data analysis and complex data structures . therefore , A degree or formal course in these fields is necessary for a career in machine learning . Your resume must show that you are in parallel / Distributed architecture , data structure （ Such as trees and graphs ） And skills in complex computing . These skills are needed in project application or implementation . Additional authentication for practical problems and coding will improve your ability to handle big data and distributed computing . The experience of computer science application will be of great help to your work in this field .

3. programing language

R,Python,Java： To get a job in machine learning , You need to learn some common programming languages . Although it is largely bound by concepts and theories , But it has components and functions that are essential to any language . Some programming languages are considered particularly suitable for complex machine learning projects . therefore , Knowledge of these programming languages can add sparkle to your machine learning resume ..

When both memory and speed are required , Use C / C ++ Help improve code speed . Because many machine learning libraries are also used C / C ++ Developed , So they are also applicable to embedded systems . Java,R and Python Good at data statistics . Even though Python It's a universal programming language , But it has several libraries specific to machine learning , They can effectively deal with machine learning projects . Python Knowledge of helps train algorithms in various computing architectures . R It is an easy to learn Statistical Platform , It is increasingly used in machine learning and data mining tasks .

3、 ... and 、 Common skills in resume

In addition to the essential details , Here is also a basic list , It can make your resume more exciting

Bachelor's degree in computer science and related fields

• rich GPU Computing and data mining experience
• General background of natural language processing and deep learning , And the corresponding tool use and Technology
• Have basic experience in agile software development practice .

Last , Some personality traits that need attention , Include ：

• Analyze and criticize the thinker
• Data driven executors
• A clear-minded communicator who translates and understands complex information
• Problem solvers and innovators .

Four 、 How to master programming language

Degrees in these languages , Certificate or online diploma , It can ensure that you have a good resume . As an engineer or science student , You may have mastered C ++,Java and Python. You can also learn these languages online in your spare time , And Practice on the items specifically mentioned in the resume . image Python and R Such a programming language makes it easy to process data and models . therefore , It is reasonable to expect data scientists or machine learning engineers to achieve a high level of programming and understand the basis of system design .

1. Machine learning algorithm

Applying machine learning libraries and algorithms is part of any machine learning effort . If you master these languages , You can implement the built-in libraries created by other developers for open use . for example ,TensorFlow,CNTK or Apache Spark Of MLib Are good machine learning platforms . You can also Kaggle Start practicing programming algorithms on . You can also mention this in your machine learning resume .

2. Software engineering and design

Software engineering and system design are typical requirements of machine learning . A good system design is flawless , So that your algorithm can expand with the increase of data . Software engineering practice is a necessary skill on your resume . As a machine learning Engineer , You need to be able to create and API Well interacting algorithms and software components . therefore , When applying for machine learning positions , Technical expertise in software design is a must .

5、 ... and 、 How to create a good resume

Now that you know the skills and prerequisites required for a machine learning career , So the next step is to put all this into a carefully planned resume . It is important to keep in mind some general skills , Include ：

• Don't underestimate your achievements and success . If there is a place where you dare to talk about your achievements , Then on your resume .
• There is no need to fill in every part of your resume . Spaces make documents look cleaner , Make it easier for readers to understand . A good idea is to adjust existing templates online , Make it exactly the same as your preferences .
• Make sure the text is concise ; Unless it is necessary , Otherwise eliminate any unnecessary nonsense .
• Don't limit your resume to one page , There is no one page requirement . As long as you have relevant experience , The extra space is reasonable .
• It can be proofread online or by family . This is useful for discovering invisible mistakes and providing others' views .

Some important information that your machine learning resume should include is

• start
• Personal summary
• Experience
• project
• education / certificate
• Skill
• Reference resources

6、 ... and 、 Machine learning resume template

Professional tips 1： If you are a beginner or entry-level professional , Please provide details about the completed project .

Professional tips 2： Don't shy away from providing all possible details about your work experience and achievements . Show off your achievements .

Applying for machine learning positions requires careful planning and consideration . Machine learning is all about algorithms , And the algorithm comes from the rich knowledge of big data analysis and necessary programming languages . A good engineering or technical background is necessary . Machine learning resumes contain these skills , You can increase your chances of being selected .