How to Write a Computer Vision Resume (Step by Step With Examples)

Key takeaways

When writing your computer vision resume, include your experience as well as relevant technical and workplace skills.

• To create an effective computer vision resume, choose an appropriate format and include essential elements such as contact information and instructions for accessing your website or portfolio. 

• Include a summary to introduce yourself to your potential employer and provide details about your education, such as institution and degree.

• You can showcase your professional experience, computer vision skills, and relevant certifications to help assure hiring managers you’re prepared for the role.

Discover how to craft an effective computer vision resume and explore jobs that use this technology. If you’re ready to develop practical machine learning skills to add to your resume, enroll in the Machine Learning Specialization from Stanford University and DeepLearning.AI. In as little as two months, you’ll have the opportunity to build machine learning models, apply best practices for machine learning development, and train neural networks. 

What is computer vision?

Computer vision is a form of artificial intelligence (AI) that uses machine learning and neural networks to train computers how to handle visual images in areas such as facial recognition, spatial analysis, augmented reality, and more.

Computer vision is used in various industries, including manufacturing, health care, construction, sports, entertainment, and more. Its applications include detecting obstacles around autonomous vehicles, diagnosing illnesses, and assessing product quality.

Is computer vision a dead field?

Computer vision is not a dead field. With an estimated market value of $58.29 billion by 2030, up from $19.82 billion in 2024 [1], the field is evolving and growing. Increased demand for automation and the development of technologies such as artificial intelligence and machine learning are driving the continued market growth of computer vision technology. 

What do employers look for in a computer vision resume?

When hiring managers and potential employers review the experience and skills on your resume, they’re looking for a variety of technical and workplace skills.

Your technical skills and experience should include working with computer vision libraries like OpenCV and TensorFlow, programming languages like Java and C++, and machine learning models. You also need strong communication and problem-solving skills. Discover how to write a computer vision resume showcasing these skills.

Step 1: Create a computer vision resume template

Decide on a resume template that showcases your information in a readable way while highlighting your experience and skills. You can choose from one of three main templates:

• Chronological resume: A chronological resume focuses on your experience, starting with your most recent experience chronologically and moving to older experiences further down the page. This is a good option if you have previous work experience. Many employers prefer this template.

• Functional resume: A functional resume showcases your computer vision skills. It can be a preferable option if you’re a recent graduate or have little previous experience with the field of computer vision.

• Combination resume: A combination resume uses the best features of the chronological and functional formats to highlight the skills from your previous jobs. However, this template can create a lengthy resume. Most hiring managers want a resume that’s fewer than two pages.

Step 2: Fill in your computer vision resume essentials

Make it easy for hiring managers and potential employers to reach you if they’re interested in your work and skills.

Include your name, email address, and phone number at the top of your resume to give them easy access to your contact information.

Depending on the job you’re applying for, it could be a good idea to include a website or online portfolio with examples of your work.

Step 3: Add your resume summary

Your resume summary is a quick way to introduce yourself to your potential employer. It can include a summary of your previous professional experience and special skills.

Experienced professionals can use a resume summary to focus on previous jobs. If you're a recent graduate or new to the field, you can focus on your education and the skills you can bring to a professional setting.

Step 4: Showcase your computer vision skills

Computer vision roles require you to have various skills to succeed. Hiring managers may be looking for skills such as:

• Machine learning: Understanding of how machine learning can make decisions using visual data

• Programming languages: Experience with languages such as Python, Java, and C++.

• Technical skills: Familiarity with computer vision libraries such as OpenCV, TensorFlow, and PyTorch

It’s also important to have workplace skills such as communication skills to work with a team and problem-solving skills to find different ways to complete projects.

Step 5: Include your professional experience

Your professional experience illustrates your previous work and your skills in each position. Start with your most recent experience and work down the page to your older experience. Include the company or organization you worked for, when you worked there, and your job title while there.

Follow each heading with a short description of your time at each position, including the skills you used in those positions, project goals you achieved, and other relevant information. These descriptions could also be a good place to include keywords that match words in the job description, including computer vision, which could make your resume stand out.

Read more: Navigating the Applicant Tracking System (ATS): A Job Guide

Step 6: Feature your certifications

Adding certifications to your resume can show potential employers you’re proficient in the skills needed for computer vision jobs and that you’re proactively learning about the continuous changes in the field. You can take courses focusing specifically on computer vision or other topics related to computer vision jobs, such as machine learning.

You have options from colleges, universities, and computer-related organizations like OpenCV University. You can look for certificates in everything from basic courses covering computer vision to advanced options that cover different topics you might need to know about, such as TensorFlow.

Step 7: Include your education

Include your education on your resume, especially if you are a recent graduate without much work experience. Include your educational institution, degree, and major. You can also include when you graduated.

To get a job as a computer vision engineer, you typically need at least a bachelor's degree. Popular majors include computer science, engineering, and mathematics [2].

Key computer vision resume takeaways

• Choose a resume template suited to your experience, skills, education, and other important information.

• Review your skills to make sure they match the job description and keywords.

• Make sure headings and descriptions are concise and clear.

• Limit your resume to two pages.

Jobs that use computer vision

You can use your computer vision skills in a variety of computer-related jobs, such as these roles (and average salaries) from ZipRecruiter:

• Computer vision engineer: $121,515 [3]

• Computer vision developer: $109,905 [4]

• Software engineer: $147,524 [5]

• Computer programmer: $64,974 [6]

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