ZipRecruiter

Log In

1

Computer Vision Scientist Jobs in Florida (NOW HIRING)

Metova Federal

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Background in computer science, data science, cognitive science, or related discipline. * Familiarity with machine learning concepts or computer vision applications. Special Requirements/Security ...

1 point system

2D/3D Engineer

Orlando, FL · On-site

Bachelor's or Master's degree in Computer Science, Engineering, Geomatics, Physics, or a related ... Familiarity with 3D geometry, spatial analysis, and computer vision techniques. * Ability to ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

next page

Showing results 1-20

All JobsComputer Vision Scientist JobsComputer Vision Scientist Jobs in Florida

Computer Vision Scientist information

See Florida salary details

$37.7K

$83.2K

$102.8K

How much do computer vision scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer vision scientist in Florida is $83,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $102,400.00 per year, depending on experience, location, and employer.

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

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 are Computer Vision Scientists?

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 popular job titles related to Computer Vision Scientist jobs in Florida? For Computer Vision Scientist jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Computer Vision Scientist jobs in Florida look for? The top searched job categories for Computer Vision Scientist jobs in Florida are:
Computer Vision Scientist jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Pensacola, FL • On-site

Other

Re-posted 22 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply