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Machine Vision Software Engineer Jobs in Silver Spring, MD

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Develop and implement statistical models, machine learning workflows, and geospatial analytics ... Medical, Dental, and Vision plans * Unlimited PTO * Federal Holiday Paid Leave * 12 weeks of paid ...

Develop and implement statistical models, machine learning workflows, and geospatial analytics ... Medical, Dental, and Vision plans * Unlimited PTO * Federal Holiday Paid Leave * 12 weeks of paid ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc.DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

... AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

Design and implement machine learning models and data-driven approaches to improve business and ... Dental & Vision: Employer-paid plans with optional enhancements * Insurance Coverage: Employer-paid ...

New

... AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

The Software Engineer will leverage their strong technical background and knowledge to design ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Bachelor's or master's degree in computer science, software engineering, artificial intelligence, machine learning, or a related field. * Strong full-stack development experience using modern ...

The Software Engineer will leverage their strong technical background and knowledge to design ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Software Engineer

Sterling, VA · On-site

$99K - $206K/yr

Develop and maintain machine learning pipelines and applications using Python and modern ML ... Nightwingoffers medical, vision and dental insurance coverage in addition to a 401k plan, PTO ...

Software Engineer

Sterling, VA · On-site

$99K - $206K/yr

Develop and maintain machine learning pipelines and applications using Python and modern ML ... Nightwing offers medical, vision and dental insurance coverage in addition to a 401k plan, PTO ...

Showing results 21-40

Machine Vision Software Engineer information

See Silver Spring, MD salary details

$65.6K

$152.5K

$212.4K

How much do machine vision software engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine vision software engineer in Silver Spring, MD is $152,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $178,800.00 per year, depending on experience, location, and employer.

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a machine vision software engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What are popular job titles related to Machine Vision Software Engineer jobs in Silver Spring, MD?

For Machine Vision Software Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Machine Vision Software Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Machine Vision Software Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Machine Vision Software Engineer jobs?

Cities near Silver Spring, MD with the most Machine Vision Software Engineer job openings:

Infographic showing various Machine Vision Software Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $152,506 per year, or $73.3 per hour.

Machine Learning Engineer - Computer Vision

Arlington, VA • On-site

CaseGuard
Software Development • 11 - 50 employees

Full-time

Re-posted 5 days ago


Job description

Job Summary:
CaseGuard is seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join their team. The role involves developing and deploying machine learning models focused on image and video processing, collaborating with cross-functional teams to design and optimize vision-based AI solutions.
Responsibilities:
• Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
• Optimize and fine-tune deep learning algorithms for real-time performance.
• Work closely with the software engineers and product teams to identify opportunities for leveraging data.
• Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
• Evaluate and optimize machine learning models for accuracy, performance, and scalability.
• Deploy models into production environments and monitor their performance to ensure reliability.
• Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
• Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
• Document processes, models, and implementations to ensure reproducibility and scalability.
Qualifications:
Required:
• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
• Experience with data manipulation tools such as Pandas, NumPy, and SQL.
• Strong programming skills in Python and C++.
• Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
• Proficiency in working with image and video data, including preprocessing and augmentation techniques.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
• Strong communication skills and the ability to work collaboratively in a team environment.
Preferred:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with version control systems such as Git.
• Understanding software engineering best practices, including code review, testing, and documentation.
• Experience with Large Language Models (LLMs) is a great plus.
• Experience with data annotation tools and processes.
Company:
CaseGuard is a management solutions company. Founded in , the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.