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Computer Vision Scientist Jobs in Maryland (NOW HIRING)

Motorola

Director of Computer Vision

California, MD · On-site

Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering Leadership, and Execution: Provide ...

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

Master's, or PhD in Computer Science, Computer Vision, Electrical Engineering, or a related field - or equivalent demonstrated experience. * Hands-on experience building, maintaining, or improving ...

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

Position Overview: Seeking a Data Scientist or Machine Learning with proven experience in ... learning, computer vision, and natural language processing, with demonstrated success in both ...

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All JobsComputer Vision Scientist JobsComputer Vision Scientist Jobs in Maryland

Computer Vision Scientist information

See Maryland salary details

$49K

$108.1K

$133.4K

How much do computer vision scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer vision scientist in Maryland is $108,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $133,000.00 per year, depending on experience, location, and employer.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

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

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by computer vision scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

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

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

What are popular job titles related to Computer Vision Scientist jobs in Maryland?

For Computer Vision Scientist jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Computer Vision Scientist jobs in Maryland look for?

The top searched job categories for Computer Vision Scientist jobs in Maryland are:

Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,063 per year, or $52 per hour.

Vision Scientist

Tunnell Government Services

Bethesda, MD • On-site

Full-time

Re-posted 12 days ago

Job description

Tunnell Government Services, Inc., is comprised of the industry's leading scientists, medical and technical experts, and human capital and organizational development professionals. We approach all projects as a team and are committed to helping our clients transform and quickly achieve strategic goals. If you are interested in joining an employee-owned company that develops and implements innovative, integrated and differentiated solutions, please click on the links below to find the job that is right for you and contact us.
Vision Scientist
Background:
Tunnell has a contract opportunity available supporting the Division of Ophthalmic Devices (DOD) within the Center for Devices and Radiological Health (CDRH) at the Food and Drug Administration. A Vision Scientist is needed to conduct scientific and regulatory reviews to evaluate the safety and effectiveness of new ophthalmic devices. This is a remote position.
DOD serves as the primary source for scientific and medical expertise on ophthalmic medical devices with regard to safety and effectiveness. The Division carries out scientific and end-to-end medical device review evaluation, including coordinating and making premarket review determinations, as well as planning and coordinating post market compliance and enforcement efforts related to medical devices.
Duties of the position:
Duties of the Vision Scientist may include but are not limited to:
  • With guidance and direction from senior scientists and engineers, the reviewer will review total product life-cycle actions (premarket, compliance, and post-market surveillance) related to ophthalmic devices. Actions may include 510(k)s, PMAs, De Novos, IDEs, pre-submissions, submission issue requests, 513(g)s, recalls and complaint submissions. Reviewer will apply his/her technical expertise to determine the adequacy of methodology, protocols and data concerning bench, animal and/or clinical testing and will, as needed, obtain appropriate consultation reviews of methodology, protocols and data that are outside the scope of the reviewer's expertise. Based on a collective evaluation of the submission, the reviewer will provide a recommendation of submission clearance, approval, disapproval, request additional information or provide scientific and/or regulatory feedback to applicants. For each submission, the reviewer will prepare a comprehensive memo supporting the recommendation and, when required, prepare the appropriate correspondence to the applicant.
  • Assist with the developing, modifying, and evaluating guidelines concerning data required in medical device actions to be submitted to the Agency. In this capacity, the reviewer participates as a member of a team of experts to develop agency or center-wide guidelines applicable to the regulation of relevant medical devices.
  • Present reviews, conclusions, opinions, and recommendations to appropriate scientific review panels on PMAs, petitions for reclassification, etc. These presentations will include key issues pertaining to the safety and effectiveness of the medical device(s), outlines of deficiencies, and recommendations for approval or non-approval of the device or the submission.
  • Enhance professional career development by collaborating with other scientists to better understand medical device problems. Keep abreast of current events and findings and changes in medical device law and regulations through review of scientific and legislative literature, personal contact with relevant authorities, and by attending scientific meetings.

Qualifications:
The candidate should have a solid background in basic and/or clinical visual psychophysics, visual optics, and optical instrumentation as evidenced by a record of independent, peer-reviewed published research.
A highly qualified candidate will have research experience with human participants including clinical trial design and management, especially clinical research involving ophthalmic devices (e.g., surgical lasers - cornea and retina), functional and diagnostic imaging devices, diagnostic visual tests, ocular implants such as intraocular lenses and retinal prosthetics). Experience in the manufacture, quality control, validation/ verification testing and measures for prescription of ophthalmic optical devices (e.g., intraocular lenses and contact lenses) is desired. Expertise in critically reviewing scientific documents and skill in clearly communicating review results are essential. Background in the following technical area(s) is highly desirable:
  • Visual Neuroscience
    • Neuroanatomy and neurophysiology of the retina and visual pathways
    • Visual electrophysiology, both clinical (ERG, VEP, etc.) and basic (single & multi-cell recording, retinal/LGN/cortical circuitry, electrical stimulation of visual pathways)
    • Functional imaging of visual pathways (e.g., functional MRI, opto-genetics, fluorescence)
  • Optics of the eye
    • Sources of retinal scattered light and its effects on retinal image quality in fovea and periphery
    • Retinal image quality (resolution and contrast) as a function of eccentricity
    • Optics of photoreceptors
  • Light energy hazard analysis, and mechanisms of light damage to the eye
  • Low Vision causes (medical conditions leading to impaired vision) and rehabilitation
  • Clinical psychophysical & optical testing
    • contrast sensitivity (typical luminance and low luminance),
    • BCVA (best corrected visual acuity) and low contrast acuity,
    • mesopic acuity,
    • perimetry,
    • color vision testing,
    • stereopsis, binocular vision
    • pupillometry,
    • aberrometry
    • accommodation testing
    • light & dark adaptation
    • psychophysical methodology
Education and Experience:
  • Doctoral level degree (e.g., Ph.D., M.D., D.O.) in a relevant field is preferred; however, an M.S. in Life Sciences/Engineering discipline combined with extensive experience with vision science and ophthalmic devices may also be
  • Minimum of 5-10 years' experience in fields directly relevant to the Vision Scientist position.
  • Experience authoring and evaluating responses to and from Regulatory Agencies is desired.
  • Demonstrated capability of proficient written and oral communication

This position is 100% telework.
Must be a US Citizen or full Green card holder.
Tunnell strives to hire and retain the most qualified talent. We believe that having employees with different backgrounds and capabilities contributes to the success of our business. To attract qualified applicants, Tunnell posts to a wide variety of job sites. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Please be advised that certain client contracts may outline specific requirements for onsite work. Tunnell employees and/or contractors are expected to comply with all client requirements, including any safety and health protocols.

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