Machine Learning Resume Sample, Job Description & Writing Guide for 2024

When you create a machine learning resume, you need to be sure it makes an impact. This can be a challenge since this is a relatively new field and everyone wants to be a part of it. It might seem difficult to get involved but there are ways to set yourself apart. You want to show you have the skills in a clean resume format that would impress anyone.

Machine learning resumes might list off all your papers and projects. Or you might have tons of experience that you can share. As long as you have a plan going into the process, you’ll be sure to craft a great professional document that helps you get ahead. And don’t worry if the idea of building a resume is daunting. We’re here to help.

As you read through this guide, we’ll share a set of tips to help you move forward. We’ll also make sure you have a resume example that you can use as you go through the required steps. With an excellent resume, you’ll be way more likely to get those interviews that give you access to well-paying jobs with amazing benefits.

Machine learning resume writing guide: Where to start?

Before you move forward with creating the perfect machine learning engineer resume, you need to have a game plan. Here’s the reality: most managers look at resumes for only a few seconds. You need to get them interested – and fast. The good news is that we have a guide for doing exactly what. Keep reading to learn more.

Master resume for machine learning

As soon as you decide to create a machine learning CV, you can hit Google to see a few examples. You’ll notice that these are tailored and designed to look fantastic. You’ll have a resume like that soon but there’s one step that comes first. The initial step involves creating a master resume.

What makes a master resume unique? The master resume is a document that is for your eyes only. This is where you save information about skills, experience, education, projects, certifications, and anything else related to work. You can easily take this information and move it to the job-specific resume so those are quicker and easier to complete.

If something happens that might be useful for a future ML engineer resume, you add it to the document. While it can take some time to create the first master resume, that only needs to happen once. After that, it’s a matter of keeping it updated. This should only take a few minutes a few times a year.

Job-specific resume for machine learning

If you have the master resume done, it’s time to move forward and create a job-specific resume. This is going to be similar to the machine learning resume example you can see just below. A job-specific resume is exactly what it sounds like. You craft a polished document using items that are relevant to a specific position. This is the point where you need to have the job description ready.

Today, it is expected that every resume for a job will be unique. However, there is a good reason for this. When you use keywords from the job description, it shows that you have the needed skills to do well in the job. If you were to add in skills and experiences with no bearing on the position, it would make it seem as if you may not be the best candidate.

There’s a second reason to use keywords and do a bit of research on the company offering the position. When you respond to a modern job advertisement, your resume may not go straight to a person. Instead, it’s often seen by an applicant tracking system (ATS). This means that the software looks through the resume before deciding whether to send it on. If you don’t have keywords included, the manager might never see it.

While you start to build your job-specific resume, remember that it should be about one to two pages long. It’s also better to go short than to go long. If you need additional insight into what to include in the machine learning resume, do a bit more research on the company. Knowing about the values, clients, and environment can help you build the best resume.

Machine learning resume example

Machine Learning Resume Example

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Above you can see Erica’s machine learning engineer resume sample. You’ll notice that the resume is clean and streamlined with a bit of color to make things stand out. You’ll notice that she has her contact information at the top followed by a great resume objective. Her work experience, education, and skills are provided as well as a short blurb for references.

What to include in a machine learning resume? Writing tips and examples

Several sections are typically included in a machine learning resume. The most important are the contact information, resume objective, and work experience. However, you should also make sure to include a list of skills and information about your educational background. Additional sections can be added, like references, certifications, languages, and technical knowledge if you have room for them.

Writing a resume objective for a machine learning resume

One of the most important parts of this document is the resume objective. You’ll see this on almost any machine learning resume sample you see. It will typically be located at the very top of the resume (with only the contact information higher on the page). The main goal here is to share your largest achievements and accomplishments. You’ll want to do it in two to four sentences so you have to be concise.

Your objective is going to be unique from everyone else’s. However, viewing other resume objectives can give you an idea of what you might want to say on your own.  Beyond sharing your accomplishments, this section is also a great place to give an employer information about your skills. The two things together will get you off to a great start.

The resume objective might be small but it can have a huge impact on whoever is reading it. Since it’s positioned high up on your machine learning resume, it might be the first thing a hiring manager reads. Use it to share your most substantial skills and achievements. However, make sure that all of the things you write are relevant to the position you want.

Since this should be no more than four sentences long, you want to make sure every word is useful. Remove any unneeded words and fill them with action verbs and accomplishments. This is a great way to start the resume right and get someone to read the rest of it.

Skills to list on a machine learning resume

While machine learning skills on a resume are a bit farther down with a traditional template, that doesn’t make them any less important. The truth is that skills are especially important for anyone in machine learning. You aren’t going to get the job if you can’t prove that you can handle the work it takes. But don’t let that get you down because the needed skills can be learned in many ways.

When you get to the point of creating a list of skills, keep in mind that you can’t add everything you’re good at it. In most cases, your list should consist of around five to 10 skills. Anything more than that can be overwhelming. Going lower than that may make it seem as if you’re your depth in the position.

It’s best to include a mixture of soft skills and hard skills. There are tons of hard skills associated with the machine learning industry, but soft skills are still important. Being capable of working with others, communicating, and sharing your ideas is just as essential as being technically proficient.

Hard skills

·       Audio/video processing

·       Applied mathematics

·       Natural language processing

·       Neural network architecture

·       Advanced signal processing techniques

·       Physics

·       Data evaluation and modeling

·       Robotics

·       Engineering

·       Cognitive science

Soft skills

·       Verbal and written communication

·       Teamwork

·       Time management

·       Leadership

·       Work ethic

·       Discipline and focus

·       Sense of responsibility

·       Ownership and accountability

·       Critical thinking

·       Collaboration

How to write work experience on a machine learning resume

Now that we dig deeper, we want to talk about work experience. Whether you’re making a deep learning resume or an artificial intelligence resume, your experience will have an impact on whether you move forward in the job-seeking process. This area is where you add any experience that is relevant to the new position. This applies to machine learning experiences as well as things outside the industry.

There is no need to include every bit of work that you have ever done. If you had a position that taught you no skills related to the new position, you can skip it and fill your resume with other jobs you held. The point of a resume is to show that you’re a great candidate for this position, not to share every aspect of your work history.

For most people, a reverse-chronological format is the best way to go here. This means you want to start with the most recent experience and then work your way back into the past. After you decide on the first entry, there are two parts to this process. You’ll create a header and follow that up with a set of bullet lists.

The header is where you list the basic details about a position. You’ll add your position, what company you were with, where the business was located, and when you were an employee. The bullet points are where you add the details, like what you did, how successful you were, and what achievements you are proud of.

Ways to list education on a machine learning resume

The last section we want to go over is education. This will usually be placed under your work experience. No matter what your educational background is, this section should be included. However, keep in mind that many machine learning positions do have requirements for education. Be sure you fit the requirements and make that clear in your resume.

If you only have a high school diploma, it should be included in the education section. However, those with a degree do not need to list their high school diplomas. Instead, you do want to list every degree. For instance, if you have a Ph. D and a bachelor’s degree, both should be included.

Similar to the work experience section, this should be in reverse-chronological order. Start with the degree you got most recently and then go backward. In addition to degrees, you can also choose to include your certifications if you’d like. The other option is to create a second section for these types of things.

This has a format similar to the last section we looked at, but it’s a bit simpler. You’ll want to share what degree you earned, where you received it, and the location of the institution. Most people will also want to list when they got the degree but it’s not mandatory to do so.

Want a great aesthetic for your machine learning resume? Take a look at the templates we offer. You’re sure to find one that works well for your needs.

Key takeaways

With the example machine learning resume in this guide and our set of tips, you should be nearing the end of creating an amazing resume to submit with your job application. Make sure you include all the required sections, add in lots of skills, and choose a template that works well for your needs. Use the tips below to get everything done and move forward.

Machine learning resume tips:

Now that you have everything ready to go, it’s time to check over your machine learning resume. This is important before you turn it into a machine learning engineer resume PDF and send it to a company. Below are a few last tips to ensure you make the best impression.

·       Take a look at your machine learning resume and eliminate any misspellings and typos that you might have missed.

·       Make sure all language in the resume is professional. Avoid excess jargon whenever possible.

·       Consider using a tool like Grammarly to ensure you have perfect grammar throughout the resume.

·       Read the resume once more but this time do it out loud. This is a great way to catch any areas of the resume that could benefit from a better flow.

·       Fill out the application, attach your resume and cover letter, and you’re ready to submit it. Good luck!

Next steps?

Need some help with the wording on your resume? Having the best wording goes a long way when it comes to getting the job. For a little bit of assistance, you can visit our CVMaker website for professional Resume Writing Services. Reach out to us and get help from an expert who has created thousands of resumes in the past.


What type of skills are best for a machine learning resume?

Whether you are creating a machine learning intern resume or something for a more experienced position, you need to include a list of skills. We recommend adding five to 10 of them, depending on your space and which relevant skills you’d like to include.

When it comes to the exact skills to include, it depends on the position you are applying for.  However, it’s a good idea to include both hard and soft skills. It might seem as if soft skills aren’t relevant, but they are. Being capable of teamwork and communication matters in any position.

What is the importance of a machine learning job description?

Before you create a document and convert it into a machine learning resume PDF, you have to decide what to include in it. One of the things that can help with that is the machine learning job description. This is where you’ll see what the manager wants from potential employees.

Since every resume should be customized, the job description helps you do that. You can take keywords from it and include them in your document. This not only makes it clear you read the description but can help you get past computer programs that scan resumes before a human gains access to them.

How do you prove your machine learning skills?

You’ll want to include your machine learning skills throughout your resume. The main location to add them is the skills section, as you might expect. However, this isn’t the only area to indicate what you are capable of. Most sections can include a few skills.

For instance, you’ll include skills under your work experience when you talk about the things you’ve done in the past. Your resume objective is another area where you want to share some of the things you are good at. The entire resume should be used to show that you have skills in machine learning.

What structure is best for a machine learning resume?

When you start to structure a machine learning resume, you want to begin with your contact information. This will either be at the top of the document or on the sidebar. Below that, you’ll typically have the resume objective. Beyond that, there are several mandatory and options sections to include.

The best machine learning resumes will include the following:

·       Contact information

·       Resume objective

·       Work experience

·       Education

·       Skills

You may also choose to include the following:

·       Other experience

·       Certifications and courses

·       Languages

·       Technical proficiencies

·       References

·       Hobbies and interests

·       Achievements and accomplishments

How long is the average machine learning resume?

If you look at several machine learning resume samples, you’ll notice that most of them are one page long. That doesn’t mean your resume has to span no more than that. However, there is a general rule to the length of a resume. If you have less than a decade of experience, it’s best to stick to one page.

Anyone with additional experience can go with a two-page resume. Going beyond that length is very rare in the industry. Since you only want to include relevant information, you can usually cut things down to one to two pages and still provide all the information a hiring manager needs.

How should a machine learning resume be formatted?

Once you have a nice layout and structure for your machine learning resume, the next step is formatting. There are many ways to format a resume and there’s nothing wrong with being a bit creative. Or go in the other direction and choose a template so you have to do less of the formatting on your own.

When you do the formatting, make sure you consider all the details. Everything from font face and size to colors and spacing is going to make an impact on how the resume looks to a hiring manager. Take your time to create an aesthetically pleasing document.

What layout is ideal for a machine learning resume?

As with other professional documents, your machine learning resume needs to be easy to read. You should make sure the layout you choose facilitates this. In most cases, your layout should start with contact information followed by a resume objective, experience, education, and skills.

If you choose a two-column layout, it may be easier to share additional information. This works well if you want to add additional information, such as languages, references, achievements, and hobbies or interests.

Are references required on a machine learning resume?

When crafting a machine learning resume, you can choose to add or omit references. There is no rule that says they have to be there, but many people find it convenient to add them. It’s down to what works for you and your resume.

If you already have a full page (or two), it might be best to omit them and send them later in the process. However, if you have extra space, adding them to the resume is fine. It’s completely fine to craft a machine learning resume either way so don’t be concerned regardless of the method you choose to use.

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