Machine Learning Resume Examples and Writing Guide

Land a machine learning job with a resume that highlights your technical skills and experience. Follow these resume examples and tips for a professional resume.

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Machine Learning Resume Example

Machine Learning Resume Example

Jobs That Can Use Machine Learning Resumes

Engineers that specialize in machine learning work in the artificial intelligence sector. They work together to design programs that let machines operate without being directly assisted by humans, with the help of data scientists, computer engineers and developers. Jobs that can use machine learning resumes include data engineers, data scientists and ML engineers.

Important Elements for Machine Learning Resume

Landing a machine learning job requires technical skills and expertise, and you’ll need to showcase this in a professional resume to help you get your dream position. Here are some aspects you should highlight for the recruiter in a machine learning resume:

  • Your professional certifications showing your expertise
  • Familiarity with data science principles
  • Knowledge of various programming languages
  • Your machine learning work experience

Header

Feature your contact information in your header. Include your full name, email address, address, phone number, and relevant social media like your LinkedIn profile or other professional portfolios. You should include this information in the header so that it is easy for the hiring manager to contact you if necessary.

Resume summary/objective

Your resume summary or objective is a brief paragraph that goes at the top of your resume.

A resume summary is a better choice for those with plenty of experience since it is a snapshot of your career highlights thus far. It summarizes your strengths as a candidate in two or three sentences:

Dedicated machine learning engineer with over five years of experience in designing and developing machine learning algorithms. Experienced in implementing analytics for different kinds of datasets. Versatile team player with a proven track record of finding innovative solutions.

The resume objective, on the other hand, is a better option for those without much experience since it is aspirational. You use it to define your career goals and objectives.

Skills

Your skills section needs to show you have the broad technical skill set required to be a competent machine learning engineer. Consider listing the following technical hard skills:

  • Data structures
  • Data modeling/data mining/data analysis
  • Data visualization
  • Predictive modeling
  • Statistical modeling
  • Regression
  • Clustering and classification
  • Web scraping
  • Knowledge of Python/Java
  • Knowledge of natural language processing (NLP) principles

However, don’t keep the focus solely on machine learning skills. Companies always want to see that you have the intangible abilities (also known as soft skills) to excel in the role, too. All companies value transferable skills like teamwork, communication skills, problem-solving and project management.

Work history

In your work history section, you’ll list recent relevant roles in reverse chronological order, along with a few major responsibilities and accomplishments for each role. Include any work on machine learning projects or computer science-related positions to establish your credibility for the recruiter.

Try to list only professional experience that is relevant to the advertised role. Search the job description for guidance on particular duties and achievements that match up with your previous roles.

Education

In your education section, further establish your credibility by listing any major academic qualifications you may have.  There aren’t many courses available that are entirely focused on machine learning because it’s a relatively young field. As a result, an undergraduate bachelor’s degree in a related discipline, such as computer science, statistics, electrical engineering, mathematics or the physical sciences, is frequently accepted, along with any more specialized coursework.

Achievements and awards

Having awards in machine learning is a great asset to add to your resume and will really make you stand out against other candidates. Whether these achievements are regarding AI or a specific industry experience, it is good to include them in your job application!

Certifications

If you don’t have relevant education in machine learning, there are multiple certifications that you can note of instead. For example, completion of online courses in areas such as software development and programming skills can bolster your resume.

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Machine Learning Resume Examples You Can Use

There are a multitude of resume examples and templates available for you to use that can fit into your machine learning role. Simply follow our example above to ensure you have filled in all the relevant information that machine learning recruiters will be looking for!

Tips for Creating Your Machine Learning Resume

Now that we’ve gone through the structure of a machine learning resume, here are some extra writing tips that will help you when crafting your own resume.

Use industry-specific jargon and acronyms to showcase your expertise. References to the knowledge of  SQL, Spark, Hadoop, TensorFlow and NumPy may not mean anything to most people, but they will indicate to the recruiter that you know your stuff. In addition, you can use the job description to customize your resume to the advertised role, hitting specific keywords that the recruiter is looking for.

Last, don’t write a machine learning resume without help! Use our resume builder for job-specific writing tips on how to create the perfect resume with resume templates.

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FAQ: Machine Learning Resume Examples

Have questions? We’re here to help.

You always need to write a cover letter for a professional job application. For a machine learning role, your cover letter lets you expand on some of your technical skills and identify your specialties. It also gives you the opportunity to explain your career goals and why you’d be an excellent fit for the company.

It is always a challenge to land a role without much previous experience. In this case, you’ll need to highlight your skills and qualifications to demonstrate that you can perform the role’s duties. Add a strong cover letter that explains to recruiters how you can contribute, and why they should take a chance on you based on the abilities you already have.

Use the job description included in the job ad for each role that you apply for. You should then tailor your resume so that it directly addresses each position’s needs, even using specific keywords (e.g., particular skills or requirements) mentioned in the posting. Check out our machine learning resume samples for inspiration.

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WRITTEN BY Ho Lin

Ho Lin is a Certified Professional Resume Writer (CPRW) and editor with two decades of experience in content strategy, creation, and development. He holds a Master’s degree in Creative Writing from Johns Hopkins University and his background includes experience aiding military veterans as they transition to civilian careers.

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