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Virtual Vision Scientist Jobs in Virginia (NOW HIRING)

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

... Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ... Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business ...

Premise Health

Nurse Practitioner

Winchester, VA · On-site

... Medical, Dental, Vision, Virtual Care, 401K, generous Paid Time Off, Paid Holidays, CME ... Master's Degree in Science of Nursing (if Master Degree in Science certificate does not state ...

Premise Health

Nurse Practitioner

Winchester, VA · On-site

... Medical, Dental, Vision, Virtual Care, 401K, generous Paid Time Off, Paid Holidays, CME ... Master's Degree in Science of Nursing (if Master Degree in Science certificate does not state ...

TIUM Technology

Medical Technologist

Richlands, VA · On-site

$58K - $78K/yr

Bachelor's of Science major in Medical Laboratory Science major in Medical Laboratory Science 1 ... Multiple levels of medical, dental and vision coverage - tailored benefit options for part-time and ...

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All JobsVision Scientist JobsVirtual Vision Scientist JobsVirtual Vision Scientist Jobs in Virginia

Virtual Vision Scientist information

What is a virtual vision scientist?

A Virtual Vision Scientist is a professional who researches and develops technologies related to visual perception in virtual environments. They often work at the intersection of neuroscience, computer vision, and virtual or augmented reality, aiming to improve how humans see and interact with digital content. Their work includes studying how eyes and brains process virtual images, ensuring visual comfort, and enhancing realism. Virtual Vision Scientists may work in academia, tech companies, or the gaming industry, contributing to advancements in visual technologies.

How does a virtual vision scientist typically collaborate with cross-functional teams to implement vision research findings into practical applications?

As a Virtual Vision Scientist, you will frequently work alongside software developers, UX/UI designers, and product managers to translate vision science research into real-world solutions such as computer vision algorithms or visual accessibility tools. Collaboration often involves presenting research findings, advising on experimental design, and iterating on prototypes to ensure scientific validity and user-centered outcomes. Clear communication and adaptability are key, as you may need to bridge the gap between theoretical research and technical implementation within project timelines.

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

To thrive as a Virtual Vision Scientist, you need a solid background in computer vision, machine learning, and image processing, usually supported by an advanced degree in computer science, engineering, or a related field. Experience with tools and frameworks like Python, TensorFlow, OpenCV, and related simulation or visualization software is typically required. Strong analytical thinking, creativity, and effective collaboration skills help you design and implement innovative vision solutions. These competencies are crucial for advancing research and development in virtual environments where accurate visual perception is essential.

What is the difference between Virtual Vision Scientist vs Optometrist?

AspectVirtual Vision ScientistOptometrist
CredentialsTypically requires a master's or doctoral degree in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentConducts research, data analysis, and virtual consultations in labs or remote settingsPerforms eye exams, diagnoses, and prescribes corrective lenses in clinics or private practices
Industry UsagePrimarily in research institutions, universities, and virtual healthcare platformsIn clinical eye care settings, hospitals, and private practices

While both roles focus on vision health, Virtual Vision Scientists primarily engage in research and virtual assessments, whereas Optometrists provide direct patient care and eye examinations. The roles differ in credentials, work environment, and industry application, though both contribute to advancing eye health and vision science.

What are the most commonly searched types of Vision Scientist jobs in Virginia?

The most popular types of Vision Scientist jobs in Virginia are:

Virtual Vision Scientist jobs near you

AI/ML Engineer

Virtual Networx

Mclean, VA • On-site

Other

Posted 12 days ago

Job description

Role: AI/ML Engineer
Experience: 10+ Years
Duration: 12 months
Location: MC Lean , VA

Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs

Responsibilities:

  • Design, develop, and deploy Machine Learning and AI solutions for business applications.
  • Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.
  • Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
  • Work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.
  • Develop and integrate Generative AI and LLM-based solutions where applicable.
  • Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures.
  • Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud Platform.
  • Deploy models through REST APIs, Docker, Kubernetes, and cloud platforms.
  • Monitor model performance, data quality, drift, and production issues.
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business stakeholders.
  • Perform model tuning, experimentation, validation, and performance optimization.
  • Implement MLOps practices for CI/CD, model versioning, experiment tracking, and automated deployment.
  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.
  • Document models, architectures, workflows, and technical processes.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • Scikit-learn
  • TensorFlow / PyTorch
  • Pandas / NumPy
  • SQL
  • NLP / Computer Vision as applicable
  • Generative AI / LLM
  • Prompt Engineering
  • RAG
  • Vector Databases
  • REST APIs
  • Docker / Kubernetes
  • Cloud: AWS / Azure / Google Cloud Platform
  • Git
  • MLOps / MLflow

Apply