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Vision Science Jobs in Washington (NOW HIRING)

Senior Computer Vision EngineerRequisition ID: TA206Location: RemoteApplication Deadline: We are ... Our diverse talented staff of scientists, engineers, and business professionals support critical ...

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... PhD in Computer Science or related field * Strong publication record in top-tier research ...

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Required : • 5+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientist with at least 2 years focused on computer vision • Bachelor's Degree or ...

Social Science Research Lead Position Overview BLN24 has an exciting opportunity for a Social ... What BLN24 brings to the Game BLN24 benefits include generous medical, dental, and vision plans.

Science Writer

Bethesda, MD · Hybrid

$85K - $141K/yr

Ability to Obtain Public Trust We are seeking a Science Writer to support the National Institutes ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Showing results 21-40

Vision Science information

What is vision science?

Vision science is an interdisciplinary field that studies how visual systems process information. It encompasses research on the anatomy, physiology, and functioning of the eyes and brain, as well as optical, computational, and psychological aspects of vision. Vision scientists work to understand how we perceive visual information, how visual disorders arise, and how technology can enhance or restore vision. Careers in vision science may involve research, clinical practice, or developing new diagnostic and corrective tools.

What are some typical collaborative projects a vision science professional might work on with other departments?

Vision Science professionals frequently collaborate with teams in ophthalmology, neurology, psychology, and engineering, depending on the setting. For example, they may work closely with ophthalmologists to develop and test new diagnostic tools, partner with engineers to refine visual aids or imaging technologies, or collaborate with psychologists to study visual perception and cognition. These interdisciplinary projects help broaden the impact of their research and often lead to innovative solutions in visual health and technology.

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

To thrive as a Vision Scientist, you need a strong background in biology, optics, neuroscience, and experimental design, typically supported by a PhD or advanced degree in vision science or a related field. Familiarity with laboratory equipment, statistical analysis software (such as MATLAB or Python), and imaging systems is essential. Strong analytical thinking, attention to detail, and effective communication skills enable successful research and collaboration. These competencies are crucial for advancing knowledge in visual perception and developing applications in healthcare and technology.

What is the difference between Vision Science vs Optometrist?

AspectVision ScienceOptometrist
Required CredentialsTypically requires a master's or PhD in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentResearch labs, universities, industry settingsPrivate practices, clinics, healthcare facilities
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescribing corrective lenses

Vision Science and Optometrists both focus on eye health and vision, but differ in their roles. Vision Science primarily involves research and development in vision-related fields, requiring advanced degrees and working in academic or industry settings. Optometrists, on the other hand, are healthcare professionals providing direct patient care, requiring a Doctor of Optometry degree and licensure. Understanding these differences helps clarify career paths and job expectations in the eye care industry.

What can I do with a master's in vision science?

A master's in vision science prepares individuals for roles such as vision researcher, optometric technician, or vision scientist in clinical, research, or industry settings. Graduates often work in eye care clinics, research laboratories, or with companies developing visual technologies, utilizing skills in optics, neuroscience, and data analysis.

What can you do with a vision science degree?

A vision science degree prepares individuals for careers in research, clinical practice, or industry related to visual health, perception, and optics. Graduates can work as optometrists, vision scientists, research analysts, or in roles involving eye care technology and visual performance assessment, often requiring knowledge of optics, neuroscience, and laboratory skills.

What does a vision science do?

A vision scientist studies how the visual system processes and interprets visual information, often conducting research in areas like optics, perception, and eye health. They may work in laboratories, healthcare settings, or academia, using tools such as microscopes and imaging devices to understand visual function and develop treatments or technologies related to vision. Strong analytical skills and knowledge of biology, physics, and psychology are essential in this field.
Infographic showing various Vision Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

TS206 Computer Vision Engineer

AIToolboard

Chantilly, VA • On-site

$210 - $280/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

# TS206 Computer Vision EngineerWarriors SolutionsChantilly, USFull-time£160,000 - £215,000## About the RolePosition Title: Senior Computer Vision EngineerRequisition ID: TA206Location: RemoteApplication Deadline: We are accepting applications on an ongoing basisWho We AreTrusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation's defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.Our CultureAs a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.Job DescriptionTrusted Space is seeking a Senior Computer Vision Engineer with a bachelor's degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers.Key Responsibilities• Technical Execution Leadership: Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment.• Strategic Technical Planning: Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders.• Lead Model Development: Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints.• Lead Dataset curation: Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run.• Research & Innovation: Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance.Qualifications• United States citizenship required• Bachelor's degree in Imaging Science, Computer Science, Computer Vision, or related field• 8+ years of experience in Computer Vision• 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features• Strong Proficiency in Python, C++, or other relevant languages• Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn• Strong foundation in mathematics, statistics, and linear algebra• Ability to identify and solve complex problems related to imagery analysis• Presenting technical choices and trade-offs to executives and non-technical clients• Ability to effectively communicate technical information to executives and non-technical audiencesDesired Skills• Master's or PhD degree in Imaging Science, Computer Vision, or Computer Science• Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection• Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune• Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors• Experience building and designing modern architectures such as CNNs and Vision Transformers• Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results• Experience with modern offline data labeling techniques• Active TS/SCI clearance or eligibility to obtain oneSalary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; p #J-18808-Ljbffr