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Computer Vision Engineer Jobs in Maryland (NOW HIRING)

Prescient Edge

Mid Computer Engineer

Bethesda, MD · On-site

$119K - $140K/yr

Job Title Mid Computer Engineer Location Bethesda, MD 20800 US (Primary) Category Research ... Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ...

SEACORP

Computer Engineer IV

College Park, MD · On-site

$110K - $130K/yr

SEACORP is seeking a well-qualified Computer Engineer IV . Primary Duties and Responsibilities: Job ... Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Maryland

Computer Vision Engineer information

See Maryland salary details

$47.1K

$117.9K

$133.4K

How much do computer vision engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for computer vision engineer in Maryland is $117,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $127,600.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Maryland? The most popular types of Computer Vision Engineer jobs in Maryland are:
What are popular job titles related to Computer Vision Engineer jobs in Maryland? For Computer Vision Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Maryland look for? The top searched job categories for Computer Vision Engineer jobs in Maryland are:
What cities in Maryland are hiring for Computer Vision Engineer jobs? Cities in Maryland with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $117,936 per year, or $56.7 per hour.
Strategic Artificial Intelligence (AI) Engineer

Strategic Artificial Intelligence (AI) Engineer

Computer World Services

Fort George G Meade, MD • On-site

$130K - $150K/yr

Full-time

Posted 13 days ago

Job description

This is directly for DISA under the Enterprise Integration and Innovation Center (EIIC) branch that creates Cybersecurity controls (STIGs) for DISA's Risk Management Executive (RME) Risk Management Framework (RMF) Mission. All other accredited agencies and subsequent systems must follow for authority to operate (ATO). We are seeking a highly motivated Artificial Intelligence (AI) Engineer to assist in analyzing the development and potential applications of AI technologies, including machine learning, natural language processing, and computer vision for the Defense Information Systems Agency (DISA). This role will be critical in ensuring the successful delivery of projects and programs, ultimately supporting the warfighter.
Immediate hire into a critical AI engineering role. Current assignment begins as interim coverage with a strong possibility of long-term placement depending on contract needs.
Key Tasks & Responsibilities
  • Work with DISA and industry personnel to review and develop a comprehensive understanding of AI technologies.

  • Stay current on the latest advancements in AI technology and research.

  • Develop and implement AI models for various applications, including machine learning, natural language processing, and computer vision.

  • Evaluate the performance of AI models and identify areas for improvement.

  • Initiate, coordinate, and monitor technical and functional activities, including strategic planning, program analysis, quality assurance, configuration management, workflow management, and productivity assessment.

  • Attend program reviews, integrated process teams, and general outreach activities to promote DISA initiatives and obtain Combatant Command (COCOM) or other partner participation.

  • Provide technical support for pathfinders, proofs-of-concept, and prototypes in various areas.

  • Develop specific program and individual project-level management activities, process improvement recommendations, technology evaluation plans, procedures, metrics, and associated documentation.

  • Generate reports, compose memos, transcribe notes, research topics, and create presentations.

Education & Experience
  • Bachelor's degree in Engineering, Computer Science, or a related field is desired.

  • Strong knowledge and experience with emerging cybersecurity technologies.

  • Proven ability to analyze technology, create reports, and deliver briefings.

  • Excellent communication and presentation skills, comfortable with public speaking.

  • Self-motivated and collaborative, with a track record of delivering results promptly.

Certifications
  • DoD 8140 and industry certifications may be required upon starting (ex. CEH, Sec+)

Security Clearance
  • DoD Secret, Top Secret, or SCI clearance may be required

Other (Travel, Work Environment, DoD 8570 Requirements, Administrative Notes, etc.)
  • Must be within commuting distance of Fort Meade and able to work on-site on a hybrid schedule. Applicants that apply outside of commuting distance will not be considered.

$130,000 - $150,000 a year
The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. The posted range is appropriate for a typical candidate meeting, at a minimum, all the core requirements of the position.
Computer World Services is an affirmative action and equal employment opportunity employer. Current employees and/or qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, disability, protected veteran status, genetic information or any other characteristic protected by local, state, or federal laws, rules, or regulations.
Computer World Services is committed to the full inclusion of all qualified individuals. As part of this commitment, Computer World Services will ensure that individuals with disabilities (IWD) are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources at [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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