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Remote Computer Vision Engineer Jobs in Gwynn Oak, MD

Quidient

Future Opportunities

Columbia, MD · On-site +1

Computer Vision, SLAM, and Structure-from-Motion (SfM) * GPU Programming (CUDA, Vulkan, Metal, OpenGL, or DirectX) * AI/ML, Deep Learning, and Neural Rendering * Software Engineering (C++, C#, Python ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.

Quidient

Future Opportunities

Columbia, MD · On-site +1

We're a team of engineers, scientists, and creators pushing the limits of what's possible in computer vision, photogrammetry, and AI-driven 3D reconstruction. About This Posting Don't see a role that ...

Wyetech

Software Engineer 2 (Hybrid)

Laurel, MD · On-site +1

$64.04 - $120.27/hr

ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research ... Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing

Eisneramper Llp

AI Solution Architect

Owings Mills, MD · On-site +1

$60.50 - $79.75/hr

... vision of becoming the industry-leading AI-powered professional services firm. What it Means to ... Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field * 6+ ...

Wyetech

Software Engineer 2 (Hybrid)

Laurel, MD · On-site +1

$64.04 - $120.27/hr

ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research ... Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing

Beth Page tech

Software Engineer

Maryland City, MD · Remote

Remote Type : Full Time : We are seeking a motivated Junior Software Engineer to join our team in the DMV area. This role is ideal for a recent Computer Science graduate eager to apply their ...

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Remote Computer Vision Engineer information

See Gwynn Oak, MD salary details

$52.6K

$131.8K

$149.1K

How much do remote computer vision engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote computer vision engineer in Gwynn Oak, MD is $131,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a remote computer vision engineer?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer vision engineer?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What cities near Gwynn Oak, MD are hiring for Remote Computer Vision Engineer jobs?

Cities near Gwynn Oak, MD with the most Remote Computer Vision Engineer job openings:

Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in Gwynn Oak, MD as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $131,755 per year, or $63.3 per hour.

Senior Computer Vision Engineer ID72408

Baltimore, MD • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

$103K - $142K/yr

Full-time

Posted 9 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.