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Computer Vision Research Jobs in Virginia (NOW HIRING)

AIToolboard

AI Research Scientist (Government)

Chantilly, VA · On-site

$210 - $253.80/hr

# AI Research Scientist (Government)AT&TChantilly, USFull-time## About the RoleThis position requires ... computer vision, or robotics • Designs experiments, collects and analyzes data, and develops ...

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Computer Vision Research information

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$11

$22

$36

How much do computer vision research jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computer vision research in Virginia is $22.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $23.61 per hour, depending on experience, location, and employer.

What is a computer vision research?

A Computer Vision Research job involves developing and improving algorithms that enable computers to interpret and analyze visual data from the world. Researchers in this field work on areas such as image recognition, object detection, and scene understanding using techniques from machine learning and deep learning. They experiment with datasets, design novel architectures, and publish findings to advance the state of the art in computer vision. These roles are commonly found in industries like healthcare, robotics, autonomous vehicles, and augmented reality.

What are the key skills and qualifications needed to thrive in computer vision research?

To thrive in Computer Vision Research, you need a strong background in mathematics, machine learning, and image processing, usually supported by a graduate degree in computer science or a related field. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with relevant certifications or published research is highly valued. Critical thinking, collaboration, and clear communication are essential soft skills in this role. These skills enable researchers to develop innovative solutions, share insights effectively, and drive progress in advancing computer vision technologies.

What are some common challenges faced by professionals working in computer vision research?

One of the main challenges in Computer Vision Research is dealing with the complexity and variability of real-world data, such as inconsistent lighting, occlusions, or image noise, which can make model development and testing difficult. Researchers also frequently need to stay updated with rapidly evolving algorithms and technologies while managing computational resource constraints. Collaboration with interdisciplinary teams and conveying technical findings to non-experts are important and sometimes challenging aspects of the job. Overcoming these challenges is essential for driving innovation and bringing cutting-edge vision applications to practical use.

How to get into computer vision research?

To pursue a career in computer vision research, develop strong skills in programming (especially Python and C++), machine learning, and image processing. Obtain a relevant degree such as a master's or Ph.D. in computer science, electrical engineering, or related fields, and gain experience through research projects, internships, or publications in the field.

What are the most commonly searched types of Computer Vision Research jobs in Virginia?

The most popular types of Computer Vision Research jobs in Virginia are:

What are popular job titles related to Computer Vision Research jobs in Virginia?

For Computer Vision Research jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Computer Vision Research jobs in Virginia look for?

The top searched job categories for Computer Vision Research jobs in Virginia are:

Computer Vision Research jobs near you
Infographic showing various Computer Vision Research job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $45,825 per year, or $22 per hour.

AI Research Scientist - Machine Learning

AIToolboard

Richmond, VA • On-site

$120 - $190/hr

Other

Posted 2 days ago

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Jobs / AI Research Scientist - Machine Learning

AI Research Scientist - Machine Learning

Full-time

About the Role

Our client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge R&D team in Richmond, Virginia, US. This role is at the forefront of developing next-generation AI technologies and algorithms. You will be responsible for designing, implementing, and evaluating advanced machine learning models, conducting groundbreaking research, andcontributing to high-impact AI applications. The ideal candidate possesses a strong academic background, a deep understanding of ML principles, and a passion for pushing the boundaries of artificial intelligence.Key Responsibilities:Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks. Analyze large datasets, preprocess data, and extract meaningful features for model training. Evaluate model performance, identify areas for improvement, and iterate on designs. Collaborate with software engineers to deploy and integrate AI models into production systems. Stay current with the latest advancements in AI and ML research through literature review and conference participation. Publish research findings in leading scientific journals and present at conferences. Mentor junior researchers and interns, fostering a collaborative research environment. Contribute to the intellectual property portfolio through patent applications.Qualifications:Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven research experience demonstrated through publications in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong theoretical foundation in machine learning, deep learning, and statistical modeling. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, scikit-learn. Experience with data manipulation and analysis tools. Ability to design and conduct rigorous experiments, interpret results, and draw insightful conclusions. Excellent problem-solving skills and creativity in developing novel solutions. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Experience with distributed computing frameworks (e.g., Spark) is a plus. Experience in specific domains like NLP, computer vision, or reinforcement learning is highly desirable. Join a forward-thinking team that is shaping the future of AI. This exciting opportunity is based in Richmond, Virginia, US .

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