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.

James Smith
Phoenix, AZ | (123) 456-7891 | [email protected]

Experienced computer vision engineer with a passion for developing novel algorithms and systems that enable machines to see and understand the world around them. Proven ability to take complex problems and break them down into manageable parts, leading to rapid prototyping and successful product launches.

University of California, Berkeley Jun '10
M.S. in Electrical Engineering and Computer Science
University of California, Berkeley Jun '06
B.S. in Electrical Engineering and Computer Science
Company A, Computer Vision Engineer Jan '17 – Current
  • Developed a deep learning model to detect and track vehicles in video feeds from cameras mounted on trucks, using TensorFlow and Python.
  • Designed an algorithm that detects lane markings in real-time camera feed for use by the vehicle tracking system, implemented with C++/OpenCV.
  • Implemented machine learning algorithms to classify objects captured by thermal imaging cameras used in robotic vacuum cleaners, using OpenCV and C++.
  • Wrote scripts to automate image processing tasks such as cropping images or combining multiple images into panoramas, using ImageMagick and Perl.
  • Optimized computer vision models for faster execution while maintaining accuracy through code optimization techniques such as loop unrolling and vectorization of loops.
Company B, Computer Vision Engineer Jan '12 – Dec '16
  • Developed computer vision algorithms to detect and track objects of interest in video streams using OpenCV
  • Implemented machine learning models for object detection, tracking, pose estimation and recognition from images/videos
  • Built a real-time image processing pipeline that utilized deep learning techniques on GPU servers
  • Created an interactive web application for remote monitoring of security cameras using NodeJS/Express
  • Designed and implemented novel approaches to challenging problems in computer vision research and development
Company C, Computer Vision Intern Jan '09 – Dec '11
  • Implemented and trained computer vision models for object detection and image classification using TensorFlow and PyTorch.
  • Performed data pre-processing and augmentation using Python.
  • Evaluated model performance using metrics such as accuracy, precision, recall, and F1 score.
  • B.S. in Electrical Engineering
  • M.S. in Electrical Engineering
  • Ph.D. in Electrical Engineering

Industry Knowledge: Computer Vision, Machine Learning, Deep Learning, Artificial Intelligence
Technical Skills: Python, OpenCV, TensorFlow, C/C++, Caffe, Torch, CMake, CUDA, OpenMP, OpenCL
Soft Skills: Problem Solving, Teamwork, Communication, Leadership

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
  • 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.


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