Machine Learning Engineer Resume Examples

Take your machine learning engineer resume to new levels with professional tips and tricks

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Professional Resume Samples for a Machine Learning Engineer

Improve your resume now with sector-specific machine learning engineer samples

Machine Learning Engineer Resume Tips and Ideas

Does your machine learning engineer resume have the right stuff to succeed?

This is an ever-expanding profession, with company data-management needs increasing exponentially each year. However, going into a job opening with an optimized resume can still often make the difference.

There’s a lot that needs to be included in a professional profile like this. Employers will want to see a mix of programming skills, system management experience, and algorithm optimization amongst other things. Therefore, how you design and fill your document counts!

To make this all a little easier, the following guide explains the best ways to optimize your resume for a machine learning engineer opening. It will take you through the most effective ways to design, structure and fill in your document so that it gets results. To save even more time and create a resume that’s ready to perform, simply use these tips with our professional resume generator.

Top Tips

  • Recommended: Reverse-chronological
  • Optional: Combination
  • Write in a consistent and legible font
  • Design a clean and organized template
  • Break up long paragraphs into bullet points
  • Create clear, easy to find sections
  • Save your file as a PDF




  • Contact information
  • Resume summary statement
  • Work experience
  • Skills
  • Education


  • Projects
  • Certifications and courses
  • Hobbies and interests
Resume Length

1-2 x letter pages (8.5” x 11”)


There are a couple of options available to machine learning engineers when it comes to resume formats. Your biggest selling points are your experience and your skills. These can be emphasized on the page with one of the two following formats.

The first of these, and the most common resume format used today is a reverse-chronological design. This promotes your work experience above all other considerations and is the absolute best choice for experienced candidates.

In the case of the candidates moving into the profession from study or a career in another sector, it’s much better to focus on your transferable skills as well as relevant work experience. To achieve this it can sometimes be better to use a combination format resume. This places equal emphasis on both your abilities and your work history and could help if your work experience section is a little more sparse in terms of recent data science roles.


Designing a well-optimized resume can sometimes feel a little intricate. There are a lot of little tips and tricks that can make a difference during this step and fortunately, very few of them are complicated or hard to implement.

One of the first things to do when planning the layout is to not overfill the document with information. Leave a little white space available to separate out sections and really let the details on the page stand out. Ideally, the sections themselves should be well-marked and easy to identify.

Avoid the temptation of adding fancy embellishing features like graphics, elaborate borders, and custom fonts. These could undermine your professionality and will most likely deoptimize your resume for Applicant Tracking Software (ATS).

When you write the information into the structure you’ve laid out, use a consistent and easily legible font. The most important thing your resume can do is communicate a lot of information fast and by making the writing easily legible you’ll do this much more effectively. This can also be made much easier by breaking up longer texts into easy to skim-read bullet points.


In most cases, a photo isn’t required on a machine learning engineer resume. Employers in the UK, US and Canada do not expect this, nor make it a pre-requisite due to strict employment discrimination laws. However, adding a photo to your resume is often needed in countries like France, Germany or Spain. Therefore, if you’re applying for a position in one of these job-markets a professional picture should be included.

Sections of a Resume

To organize all the relevant information on the page you need to break up your details into clear and detailed sections. At a minimum you should include the following segments:

  • Contact information
  • Resume summary statement
  • Work experience
  • Skills
  • Education

However, to stand out to employers looking at your abilities as a machine learning engineer you should aim to include a few highlights that mark you out as a unique candidate. This can include one or more of the following optional sections:

  • Projects
  • Certifications and courses
  • Hobbies and interests

Resume Length

It’s better to keep your resume short and sweet. Ideally, you should stick to a length of about 1-2 letter pages. Don’t go beyond 2 pages, however, as longer resumes are often not read in their entirety or are simply discarded by particularly busy recruiters. Resumes of 3+ pages are not competitive and will not give you an advantage even if your profile is tip-top.

Machine Learning Engineer Resume Section Headings

Work experience

Your work experience section is what recruiters will be scrutinizing first and foremostly. This means striking a fine balance between the details they will want to see on the page with keeping things concise.

You should only include the most recent (within the last 10 years) and relevant jobs that you’ve held. For each entry include the following aspects:

  • The name of the company and its location
  • Your job title(s)
  • The dates you were employed between
  • The tasks you took on and the responsibilities you were given

When you elaborate on the tasks you did, being specific is key. Demonstrate precise expertise in the particular fields of data science and management you’ve undertaken. For example, whether it’s in the financial, security or IT sector. You should also highlight any and all tools and data management systems you used to do the job.

One of the most important elements to highlight in the work experience section, however, are the KPIs you worked towards and how well you met them. Recruiters are eager to see examples of what you brought to the company and how you helped them achieve success, and this is one of the best ways of doing so.


It’s safe to say that working as a machine learning engineer requires a broad range of abilities. Therefore a well-stocked resume skills section is essential to success. Depending on the role and the knowledge required by the employer in question, you should seek to include one or more of the following talents on the page:

Hard skills:

  • Statistics
  • Coding
  • Quality control
  • Software engineering and design
  • Data structures
  • Programming languages
  • Data mining

Soft skills:

  • Attention to detail
  • Problem-solving
  • Simplifying complex information
  • Communication
  • Critical thinking
  • Analytical mindset


You’ll need at least a Masters’s or Bachelors’s degree to get hired as a machine learning engineer. An MS or BS in Computer Science, Computer Engineering or Computing will normally fulfill the requirements sought out by hiring managers.

Further to this, it’s also wise to include any and all information about any courses or training you’ve had in a relevant system or coding language. These can also be expressed in the education section of the resume or can be included in its own section dedicated to certifications.

Machine Learning Engineer Resume Vocabulary & Writing Tips

The words you squeeze onto the page should be carefully chosen. You should aim to get a good quantity of sector-specific vocabulary onto the page. This doesn’t need to be too technically in-depth, but it should show you know the job like the back of your hand.

This is equally important due to the increase in the use of ATS tools. These will penalize resumes that don’t make enough use of these keywords as well as documents that contain spelling or grammatical errors.

Words to Use

  • Dependencies
  • Continuous integration
  • Software development
  • Algorithm
  • Machine learning algorithm
  • Deployment
  • Architectures
  • Security scenarios
  • .NET
  • Linear regression
  • A/B tests
  • Performant systems
  • Applied statistics
  • Lane-finding
  • Deep learning
  • Data structures

Action Verbs

  • Create
  • Test
  • Research
  • Prepare
  • Deploy
  • Analyze
  • Debug
  • Write
  • Code
  • Operate
  • Troubleshoot
  • Manage
  • Program
  • Design
  • Measure
  • Build

Resume Samples

1. Candidate seeking a Machine Learning Engineer role:

Resume summary statement:

Data-driven Machine Learning Engineer, fully proficient in C++ and Python with a problem-solving mindset, analytical approach to tasks and strong knowledge of financial sector necessities.

  • Developed advanced machine learning systems adapted to the finance industry best practices
  • Collaborated with key project stakeholders to ensure that essential goals were met
  • Created effective databases that assisted in project planning and new product launches
  • Researched and tested new technologies to support the growth of the business and to maintain competitiveness
Start your resume now
  • 4 years
    coding experience
  • MS
    Computer Engineering
  • Expert
  • Proficient

2. Candidate seeking a Machine Learning Engineer role:

Resume summary statement:

Motivated Machine Learning Engineer with an in-depth knowledge of designing and maintaining MySQL systems and optimizing algorithms for the best performance possible.

  • Optimized database performance by fine-tuning operational functions
  • Developed effective and advanced back-end machine learning programs
  • Adjusted systems to improve dataset usability, scalability and distribution systems
  • Mentored 5 new members of data-science staff and assisted in the training of employees in database management
Start your resume now
  • 3 years
  • MS
    Computer Science
  • Expert
  • Experience
    Apache Spark

Last modified on October 26th, 2020

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