Machine Learning Resume: Samples and Writing Guide

Your machine learning resume can’t look like a spambot output. The problem? This is a new field and everyone wants in. They don’t take applicants without a PhD or MSc. Unless—you show the right machine learning projects and papers in a clean resume format that passes the Turing test.

Don’t have those? Years of on-the-job experience are even better. Don’t worry. You can do this. Use the right plan, and you’ll be building pipelines for a grateful company in no time. And your bank account will grow like a political stats dataset.

You’re about to see a machine learning engineer resume example you can change to fit any machine learning position. You’ll also get easy steps to write a resume for machine learning engineer jobs that’ll earn 10x more interviews than any other.

Here’s a machine learning resume example made with our builder.

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Sample resume made with our builder—See more resume examples here.

Need a special kind of machine learning skills resume? See these guides:

• Data Scientist Resume
• Data Engineer Resume
• Computer Engineering Resume
• Industrial Engineer Resume
• Engineer Resume
• Project Engineer Resume
• Engineering Internship Resume
• Software Engineering Internship Resume
• Computer Science Resume
• Solution Architect Resume
• SQL Developer Resume
• .NET Developer Resume
• Database Developer Resume
• SSRS Developer Resume
• DevOps Resume
• Programmer Resume
• Bioinformatics Resume
• Full Stack Developer Resume
• Computer Science Internship Resume
• Best Resume Examples

Sample Machine Learning Resume (Text Version)

Here’s how to write a machine learning engineer resume step-by-step.

1. Start With the Right Format for a Machine Learning Resume

The good news? You don’t have to impress other machine learning engineers. (Phew!) But you do have to wow the bigwigs—the corporate vision types. What lights them up like a neural network? Appearances and professionalism. That means your machine learning resume format has to fit the form.

So—

Here’s how to format a machine learning engineer resume template:

• Format: choose the reverse-chronological resume format. It puts your best Stanford-worthy achievements first.
• Fonts: use professional resume fonts like Didot or Calibri for a Sparkbit-worthy look.

• Font size: 11–12 points for text, 13–14 points for resume headings.
• Line spacing: 1 to 1.15.
• Resume margins: 1 inch on bottom, sides, and top.
• File type: send a PDF resume to any job that doesn’t deprecate them. Today’s AI-based ATS systems can scan PDFs.

Include the following resume parts:

• Header: add the right contact information, including a link to your portfolio and/or Github profile page.
• Summary: the lowdown on the key points of your resume.
• Experience: your best machine learning engineer successes.
• Education: a PhD is best, an MsC is second, and a bachelor’s is okay.
• Projects: if you only have a bachelor’s, add a projects section.
• Skills: list the ones they mention explicitly.
• Other sections: published papers are pure gold in an MLE resume.

Pro Tip: Your machine learning resume needs white space. The hiring team isn’t an algorithm. They can’t parse a resume that reads like a wall of code.

Got issues with the chronological resume format? See our guide: How to Pick the Best Resume Format

2. Add Experience to Your Machine Learning Engineer Resume

The C-suite doesn’t understand what you do. But they need to know you’ve done it. Don’t have a PhD? Then your experience is everything in a machine learning resume. But show your past AI jobs in a certain way to show you’re Sheldon-Cooper-level. Otherwise, they’ll think you’re more like Stuart Bloom.

To tailor your resume:

• List your latest job title.
• Add a company name and years/months.
• Write a short machine learning engineer job description.
• Add 5–6 bullet points (less for older jobs).
• Tell a story with the PAR (Problem-Action-Result) formula in each bullet.

See these machine learning engineer resume samples:

Machine Learning Engineer Job Description for a Resume

One of those is Jeffrey-Hawkins-level, but the other is a TRS-80. Your resume design has to draw the eye like example #1. Then stock it with the right achievements.

For an entry-level machine learning engineer resume, do the same thing with standard SWE achievements. The key? Scrape together your best coding moments that show transferable skills. You can talk up ML coding projects in SWE jobs, or just show teamwork or communication skills.

See these entry-level machine learning resume examples:

Entry-Level Machine Learning Resume Samples [Experience]

Getting hired is all about the proof. If you can show real achievements you’ll get callbacks. Even if you’ve never worked a machine learning engineer job.

Pro Tip: It’s hard to get entry-level machine learning jobs. But there’s a massive shortage of highly-skilled data-wrangling pros. Prove you’re skilled, and you’re in.

When making a resume in our builder, drag & drop bullet points, skills, and auto-fill the boring stuff. Spell check? Check. Start building a professional resume template here for free.

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When you’re done, Zety’s resume builder will score your resume and tell you exactly how to make it better.

Need more advice to make your machine learning engineer stand out like OpenNN? See our guide: How to Show Experience on a Resume

3. Classify Your Education Section

Education is the silver bullet in a machine learning resume. With it, you’ll get attention like Michael I. Jordan. List at least a bachelor’s degree and preferably an MSc. A PhD will seal the deal. But you can’t just say you’ve got it. You must show you aced it. That means finding more successes.

See these machine learning engineer resume examples:

Machine Learning Resume Example [Education]

Nice, right? That education section doesn’t just tout the schools. It doesn’t stop at listing your degrees. It adds successes. And that research paper? That’s machine learning job gold. Plus—notice we didn’t add a GPA. You can list yours if it’s high. But if not, save the space for real achievements.

Pro Tip: Research papers are magic in a machine learning resume. If you’ve written more than one, create a section called “Machine Learning Research Papers.”

The education section of your resume for machine learning engineer jobs needs to pop. See our guide: How to Put Your Education on a Resume

4. Put the Right Machine Learning Skills in Your Resume

You can’t automate the skills section of a machine learning resume. Does the company need PCA? Polynomial fitting? Regression? I know you’ve got a lot of skills, but you can’t list them all. You’ve got to classify them to find the best ones for your resume. Then prove each one as shown below.

So—

Start with this list of skills for machine learning engineer resumes:

Machine Learning Resume Skills (Hard Skills)

• Strong Programming Skills 
• Data Structures
• Data Modeling
• Predictive Modeling
• Regression
• Classification
• Clustering Models
• Tensorflow
• Pytorch
• Keras
• Numpy
• Pandas
• SciKit Learn
• Unit Testing and CI/CD
• Machine Learning technology
• MATLAB
• Explanatory Analysis
• Natural Language Processing
• C++(STL)
• PySpark.ML
• Python
• Java

Machine Learning Skills for Resumes (Soft Skills)

• Interpersonal Skills
• Presentation Skills
• Teamwork and Collaboration
• Written and Verbal Communication
• Problem Solving
• Attention to Detail
• Time Management
• Critical Thinking
• Organizational Skills

But—which will make managers say, “Wow”?

Here’s how to select the best machine learning engineer skills:

1. Write down the machine learning skills in the online job description.
2. Circle the ones you have.
3. Save those asyour resume keywords. List them in your resume.
4. Add bullet points that paint pictures of you using those skills.
5. Include hard skills and soft skills for a clearer image.

See this machine learning resume example:

Say the employer wants simulation development, dataset interpretation, and data modeling.

Machine Learning Resume Examples [Skills]

Machine learning engineer skills in a resume like that work because they splice you to the job. But it’s not as hard as quantum supremacy. You can do it. Can’t get a handle on what skills the company wants most? Simple. Do informational interviews to get a window on their needs.

Pro Tip: People make decisions from emotion, not data. Put that power in your corner. How? By starting each bullet point with resume action words that grip the reader.

Need more skills to build out your machine learning engineer resume? See our guide: +30 Best Examples of What Skills to Put on a Resume

5. Add Other Sections to Your Machine Learning Engineer Resume

If we did a K-means cluster of machine learning resumes, what would we see? Most likely, resumes that got more interviews wouldn’t just show a PhD and some jobs. They’d list professional associations, projects, published papers, and volunteer work. In other words, they’d show a full-stack human being.

In other words? You can and should add bonus sections.

Choose from:

1. Publications in a Resume

“Publish or perish,” they say, or—publish and flourish. If you’ve written machine learning articles, the suits will see it as shorthand for “This is Sebastian Thrun in disguise.” If you have more than one, add them in a dedicated section.

2. Projects on a Resume

If you don’t have a PhD or MSc, you’d better have some projects. Decision-makers see strong project as evidence of skills. But don’t just drop a beginner-level stock picker or sports betting algo in your Github list. Include robust, advanced projects that show you know your CRFs. Here are some sources for projects for machine learning resumes:

• Machine learning projects for beginners
• Advanced machine learning projects

3. Resume Licenses & Certifications

Certifications aren’t mandatory in machine learning resumes. But they help. Especially if you’re just dipping your toe in the data ocean, consider adding one or two of the certs below. (But they’re no substitute for a PhD, work experience, published papers, or projects.)

• Programming in C#
• Python
• Programming Languages
• Machine Learning Algorithms
• Graphics Processing Unit

4. Resume Volunteer Work

Have you done free machine learning projects? What about leading a local Scout troop or volunteering at a homeless shelter? Pitching in shows more than caring. It shows extra bandwidth and skills just itching to be used.

5. Professional Associations

Are you a card-carrying member of AAAI? That shows machine learning isn’t just a thing you do for pay. It’s part of your identity. Pride and ownership are green lights to spot a good future employee.

6. Conferences

Have you been to AI Dev Conf or Big Data World? Have you spoken at them? One job-seeker we spoke with said speaking at a conference was the single thing on her resume that made employers want to talk to her.

7. Awards and Honors

Did your team receive an AWS Machine Learning Research award? Did you win a Kaggle contest to detect deepfakes or recognize handwritten digits? Make space for those on your resume.

See these machine learning resume samples:

Machine Learning Resume Examples [Other Sections]

Pro Tip: If you’re writing a resume for an internship, it’s all about the education section. That’s where your projects and your publications should take center stage.

Got a thin machine learning resume? You can put hobbies in it to stretch it out. See our guide: List of Hobbies & Interests for a Resume or CV

6. Write a Machine Learning Resume Objective or Resume Summary

Why write a machine learning resume summary or resume objective? It’s the TL;DR version of your resume. It sells your best features. If the manager likes the summary, she’ll keep reading. But it’s easy to do. Just write your resume, then scan it for the greatest hits.

Here’s how to write a career summary:

1. Lead with an adjective like resourceful or passionate.
2. Add your title (machine learning engineer).
3. Mention your years of experience (1, 5, 9+).
4. Say what you’ll do (implement statistical machine learning solutions).
5. Add the business name (Macro Globe).
6. Share your best few successes.

See these examples:

Machine Learning Engineer Resume Summary

Spam alert! The second of those machine learning resume samples has a lot of adjectives. This candidate is amazing, experienced, and dedicated. Why not let the hiring manager be the judge? I’d rather hire the 4+ candidate with the 34% improvement on his track record.

A career objective works the same. It’s the smart choice for entry-level resumes. Structure it with an adjective, years of experience, your goal, and your resume’s most eye-opening achievements. Did you work as an SQL developer? Find high moments from that job or from school.

See these examples:

Entry-Level Machine Learning Resume Objective

Again, ditch the adjectives and superlatives. Less crowing, more showing. Let your goal and past metrics do the bragging. That’s the only way to keep the suits reading (and drooling) without turning them off.

Pro Tip: How long should a resume be for machine learning engineer jobs? A one-page resume is your best bet. Can’t fit it all in one page? Cut out the boring parts until it sings.

Is this your first machine learning resume? See our guide: First Resume with No Work Experience

7. What About a Machine Learning Cover Letter?

Do you need a cover letter for a machine learning resume? Without question. Managers aren’t trying to hire an algorithm. You can show achievement in a resume, but you can’t show what kind of person you are. Are you easy to work with? Energetic? Only a cover letter can answer that. But fit it to the job.

To write your cover letter:

1. Format cover letters first.
2. Start your machine learning engineer cover letter with the manager’s name.
3. Write a standout first sentence for your cover letter.
4. Next, add the few successes the hiring manager will love.
5. End your cover letter with an offer.

Pro Tip: Did the company just make a breakthrough in AI? That’s a great fact for your letter’s first sentence. People love to hear good news about themselves repeated.

Want your machine learning engineer resume and cover letter to excel? See our guides: How To Write A Cover Letter in 8 Simple Steps and How to Make a Resume: A Step-by-Step Guide

Plus, a great cover letter that matches your resume will give you an advantage over other candidates. You can write it in our cover letter builder here. Here's what it may look like:

Create my cover letter now

See more cover letter templates and start writing.

Key Takeaway

Here’s a recap of how to write a machine learning resume:

• Format your machine learning engineer resume template in reverse-chronological order.
• Find machine learning engineer skills in the job listing online.
• List your experience first. Target it to the job like a decision tree.
• Include some numbers to stand out like Terry Sejnowski.
• Add your PhD (or MSc or BS), plus achievements.
• List publications and projects for a massive boost.
• Write a machine learning engineer cover letter to make the hiring team stop dreaming about RNNs.

That’s it! Now, we’d love to hear from you: 

• What’s the most worrying part about writing a machine learning resume? 
• Are you scared that your lack of a PhD will sink you?
• Does writing a cover letter make you feel ill?

Let’s chat below in the comments, and thanks for reading!