Computer Vision Engineer Resume Example & Writing Guide
Use this Computer Vision Engineer resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
Computer vision engineers are in high demand right now because computer vision is becoming an increasingly important part of many companies’ business models. Computer vision engineers use computer programs to process images, videos, and other forms of media in order to identify objects, track movements, and recognize patterns.
If you’re looking for a job in this fast-growing field, it’s time to write a computer vision engineer resume that will get hiring managers interested in speaking with you. Follow these tips and resume example to write a computer vision engineer resume that hiring managers will love.
How to Write a Computer Vision Engineer Resume
Here’s how to write a resume of your own.
Write Compelling Bullet Points
When it comes to your bullet points, the more specific you can be about your responsibilities and achievements, the better. For example, rather than saying you “developed software for image processing,” you could say that you “developed software for image processing using Python to apply filters to images and generate heat maps based on user interactions.”
The second bullet point is much more specific and provides more detail about what exactly you did and the results of your work.
Identify and Include Relevant Keywords
When you apply for a job as a computer vision engineer, your resume is likely to be scanned by an applicant tracking system (ATS) for certain keywords. If your resume doesn’t include enough of the right terms, your application might not make it past the initial screening process.
One way to make sure you have the right keywords on your resume is to look at the job posting and take note of the terms that are repeated most frequently. Then, try to include those same terms throughout your resume.
Here are some common computer vision engineer keywords and terms to get you started:
- Computer Vision
- OpenCV
- Python (Programming Language)
- Machine Learning
- C++
- Image Processing
- MATLAB
- Deep Learning
- Image Recognition
- C (Programming Language)
- Machine Learning Algorithms
- Image Processing
- OpenGL
- Artificial Intelligence (AI)
- Computer Vision Applications
- Computer Vision Research
- Computer Graphics
- C#
- OpenCV C++
- Linux
- Java
- Image Processing Algorithms
- Feature Engineering
- OpenCV.NET
- CorelDRAW
- Open Source
- R (Programming Language)
- Windows
- Data Visualization
- Agisoft PhotoScan
Showcase Your Technical Skills
As a computer vision engineer, you need to be proficient in the use of various software programs and systems to effectively do your job. This might include programs like MATLAB, Python, and C++, as well as systems like Linux and Windows. Additionally, you should be familiar with computer vision concepts and algorithms, and have experience with image processing and machine learning.