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Vision Science Jobs in Georgia (NOW HIRING)

Sunrise Systems

Clinical Specialist I

Alpharetta, GA · On-site

Additional duties include scheduling appointments, managing research data and records, and collaborating closely with the Vision Scientist to prepare qualification documents for new ophthalmic ...

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Vision Science information

See Georgia salary details

$20.7K

$40.9K

$66.7K

How much do vision science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for vision science in Georgia is $40,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $43,900.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Vision Science jobs in Georgia?

For Vision Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Vision Science jobs in Georgia look for?

The top searched job categories for Vision Science jobs in Georgia are:

Vision Science jobs near you
Infographic showing various Vision Science job openings in Georgia 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 $40,860 per year, or $19.6 per hour.

Sr. Data Scientist (Computer Vision)

Turnbridge Technical Solutions

Atlanta, GA • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

Senior Data Scientist, Computer Vision & Product Strategy


Location: Atlanta, GA (Hybrid/remote)

Employment Type: Full-Time


About TURNBRIDGE


TURNBRIDGE delivers precision-driven technical solutions and talent strategies that accelerate business outcomes. We connect exceptional talent with innovative organizations, helping teams solve complex challenges through technology, data, and AI-driven solutions.


Role Overview


We are seeking a highly experienced Senior Data Scientist to lead the evolution of a cutting-edge Computer Vision platform in a hybrid technical leadership and product ownership role. This position combines deep expertise in data science, machine learning, and computer vision with strategic product management responsibilities.


You will define the technical direction of computer vision applications, guide AI/ML innovation, own product vision and roadmap execution, and lead cross-functional teams to deliver scalable, enterprise-grade solutions that generate measurable business value.


Key Responsibilities

Data Science & Computer Vision Leadership

Lead the technical strategy for a mobile Computer Vision SDK, enabling intelligent image capture through real-time quality assessment, image validation, augmented reality guidance, and user coaching.

Drive the design and ongoing optimization of image processing pipelines that transform raw image captures into actionable operational insights in near real-time.

Guide development of a scalable backend platform for configuring, managing, and deploying image processing workflows across multiple business use cases.

Define and operationalize KPI frameworks that convert image recognition outputs into reliable business metrics, dashboards, and decision-support insights.

Partner with product and engineering teams to integrate computer vision capabilities across multiple applications and platforms.

Collaborate with data engineering and analytics teams to enable enterprise-wide access to image recognition insights through modern data platforms and AI-powered experiences.

Establish standards for model evaluation, benchmarking, quality assurance, drift monitoring, experimentation, and continuous improvement.

Research and implement emerging computer vision and machine learning technologies, including foundation models, self-supervised learning, synthetic data generation, and edge AI optimization.

Serve as the subject matter expert for model validation, experimentation, performance analysis, and solution design.

Product Vision, Strategy & Execution

Define and own the vision, strategy, and roadmap for the computer vision product portfolio, including SDKs, image-processing services, and business rules engines.

Establish and drive product objectives and key results (OKRs) aligned to measurable business outcomes.

Lead product discovery efforts through stakeholder engagement, user research, workflow analysis, and market evaluation.

Own product backlog prioritization, balancing customer value, strategic alignment, technical considerations, and delivery effort.

Define and monitor key product success metrics, including adoption, model accuracy, user engagement, operational impact, and time-to-value.

Create and maintain product artifacts such as business cases, product requirements documents (PRDs), roadmaps, release communications, and executive updates.

Act as the primary bridge between business stakeholders, technical teams, and leadership to ensure alignment and successful product delivery.

Develop value realization plans that support adoption, user enablement, training, and measurable ROI.

AI Vendor & Data Asset Management

Manage relationships with external AI, machine learning, and image recognition technology providers.

Establish and maintain service-level expectations for model performance, accuracy, retraining cadence, and issue resolution.

Oversee image datasets, reference assets, metadata, and catalog governance to ensure data quality and consistency.

Evaluate model performance using quantitative methods and challenge assumptions through rigorous testing and analysis.

Assess emerging technologies, partners, and vendors to ensure a best-in-class computer vision ecosystem.


What You'll Gain

End-to-end ownership of AI and machine learning products operating at enterprise scale.

Experience leading advanced computer vision initiatives from concept through production.

Exposure to emerging trends in machine learning, edge AI, image recognition, and generative AI technologies.

Opportunities to blend technical leadership with strategic product management responsibilities.

Collaboration with cross-functional teams driving innovation, digital transformation, and operational excellence.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience).

7+ years of experience in data science, machine learning, or artificial intelligence.

3+ years of hands-on experience in computer vision, including object detection, image classification, segmentation, OCR, or related technologies.

Proven experience leading technical teams and delivering ML/AI solutions in production environments.

Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, OpenCV, or Hugging Face.

Deep understanding of the machine learning lifecycle, including model development, deployment, monitoring, maintenance, and optimization.

Experience defining product KPIs, OKRs, and outcome-driven roadmaps.

Strong stakeholder management, communication, and cross-functional leadership skills.

Experience managing third-party technology vendors, strategic partners, and service-level agreements.


Preferred Qualifications

Experience serving as a Product Owner, Product Manager, or technical product leader within an AI/ML environment.

Experience designing and scaling image recognition or computer vision platforms.

Knowledge of SDK architecture, API-first product development, and developer experience best practices.

Familiarity with business rules engines, workflow automation, and decision intelligence platforms.

Experience with cloud-native architectures, preferably Microsoft Azure.

Experience with Databricks, containerization, CI/CD pipelines, and MLOps practices.

Exposure to generative AI, foundation models, and multimodal AI systems.

Experience supporting retail, logistics, supply chain, field operations, manufacturing, or enterprise operational environments.

Professional & Interpersonal Skills

Strategic thinker who balances long-term vision with practical execution.

Ability to communicate effectively with executive leadership, business stakeholders, engineers, and data scientists.

Strong analytical and problem-solving skills with a data-driven mindset.

Comfortable operating in ambiguous, fast-moving environments.

Proven ability to influence without direct authority across multiple teams and functions.

Collaborative leadership style with a passion for innovation and continuous improvement.

Excellent written, verbal, and presentation skills.

Commitment to fostering an inclusive, diverse, and high-performing workplace culture.


Why TURNBRIDGE?

Work on cutting-edge AI, machine learning, and computer vision initiatives.

Influence both product strategy and technical direction.

Collaborate with highly skilled engineers, data scientists, and business leaders.

Drive measurable business impact through innovative technology solutions.

Join a culture focused on excellence, accountability, collaboration, and continuous innovation.


Ready to make an impact? Apply today and help shape the future of AI-powered computer vision solutions.