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Computer Vision Research Assistant Jobs (NOW HIRING)

Computer Vision R&D Engineer

San Diego, CA ยท On-site

$217K/yr

Computer Vision R&D Engineer San Diego, California, United States About the Job We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core ...

Computer Vision R&D Engineer

San Diego, CA ยท On-site

$100K - $200K/yr

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer ... assist you.

Foundational Research Strategy: Define the long-term research agenda for fundamental computer ... assist you.

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Computer Vision Research Assistant information

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$33.5K

$48.3K

$63.5K

How much do computer vision research assistant jobs pay per year?

As of Jun 24, 2026, the average yearly pay for computer vision research assistant in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Research Assistant, and why are they important?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are Computer Vision Research Assistants?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What are the typical projects and daily tasks for a Computer Vision Research Assistant?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.
More about Computer Vision Research Assistant jobs
What cities are hiring for Computer Vision Research Assistant jobs? Cities with the most Computer Vision Research Assistant job openings:
What are the most commonly searched types of Computer Vision Research jobs? The most popular types of Computer Vision Research jobs are:
What states have the most Computer Vision Research Assistant jobs? States with the most job openings for Computer Vision Research Assistant jobs include:
Infographic showing various Computer Vision Research Assistant job openings in the United States as of June 2026, with employment types broken down into 58% Full Time, 16% Part Time, and 26% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision R&D Engineer

DHD Consulting

San Diego, CA โ€ข On-site

$217K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Computer Vision R&D Engineer

San Diego, California, United States

About the Job

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning. As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration)

Responsibilities

- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology. - Research, develop and employ machine learning algorithms for solving difficult and exciting challenges. - Engineer solutions for quality inspection equipment, medical equipment, and more. - Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python. - Participate in weekly Group Genius activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere. - Performs other duties as assigned

Skills and Qualifications

- Masters degree required - Ph.D preferred - Experience to Research and Develop to Classical Computer Vision Algorithm - Experience to Research and Develop Machine Learning

- Experience to Deploy CUDA processing - C++ code optimization in performance-wise to image processing - Experience with at least of the programming language C++ / Python / CUDA

- Have at least one of the followings: - Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation. - Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems - Algorithm optimization for efficient processing, exploiting parallelism, and GPU - Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years) - C++ programming skills, preferably in an embedded environment with GPU and familiar with UML

Benefits

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage) - 401(k) retirement plan (Immediately 100% vested) - Generous PTO and paid holidays