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Internship Computer Vision Jobs in Florida (NOW HIRING)

Demonstrated experience through internships, research, or substantial projects is acceptable. * Strong foundation in computer vision and deep learning, with hands-on experience in areas such as ...

Demonstrated experience through internships, research, or substantial projects is acceptable. * Strong foundation in computer vision and deep learning, with hands-on experience in areas such as ...

... computer vision (through classes or personal interest) * Familiarity with version control systems (Git) or software development practices * Previous internship, co-op, or project experience in any ...

The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at ... internships, campus leadership, athletics, and side projects all count. * You have the ability to ...

Cultivate Internship

Pompano Beach, FL · On-site

$14 - $18.75/hr

Shared alignment with OneHope's mission, vision, and values. * Desire to grow and contribute in a ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

Cultivate Internship

Pompano Beach, FL · On-site

$14 - $18.75/hr

Shared alignment with OneHope's mission, vision, and values. * Desire to grow and contribute in a ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

This internship offers an opportunity to contribute to exploratory projects in Artificial ... Computer Vision or Multimodal Models * Natural Language Processing or Large Language Models * Data ...

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

This internship offers an opportunity to contribute to exploratory projects in Artificial ... Computer Vision or Multimodal Models * Natural Language Processing or Large Language Models * Data ...

Design & Engineering Internship

Tampa, FL · On-site

$15.75 - $20.50/hr

Our vision is that everyone we touch is motivated to join us in taking action to protect and ... Ability to use radio, telephone, and computer to communicate and follow written and verbal ...

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Internship Computer Vision information

What is an Internship Computer Vision job?

An Internship in Computer Vision involves working on projects related to image processing, machine learning, and AI-driven visual recognition. Interns typically assist in developing algorithms for object detection, image segmentation, and pattern recognition. They may work with deep learning frameworks like TensorFlow or OpenCV to train models on large datasets. This role provides hands-on experience in applying computer vision techniques to real-world problems, preparing interns for careers in AI and machine learning.

What are the key skills and qualifications needed to thrive in the Internship Computer Vision position, and why are they important?

To thrive as an Internship Computer Vision candidate, you should have a solid understanding of image processing, machine learning fundamentals, and proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries like OpenCV, TensorFlow, or PyTorch, as well as coursework or certifications in artificial intelligence, is highly valued. Strong problem-solving skills, willingness to learn, and effective communication abilities are key soft skills that help interns excel. These competencies are essential for contributing to projects, integrating with teams, and adapting to the fast-evolving field of computer vision.

What types of projects and daily tasks can I expect during a Computer Vision internship?

As a Computer Vision intern, you can expect to work on projects involving real-world image and video data, such as developing object detection models, data annotation, and helping improve existing algorithms. Daily tasks often include coding, running experiments, analyzing model performance, and collaborating with data scientists and software engineers. You may participate in team meetings, present your findings, and receive mentorship on best practices in both research and development. This hands-on experience provides a valuable opportunity to build your technical skills and gain insight into how computer vision applications are developed and deployed in industry.
What are the most commonly searched types of Computer Vision jobs in Florida? The most popular types of Computer Vision jobs in Florida are:
What cities in Florida are hiring for Internship Computer Vision jobs? Cities in Florida with the most Internship Computer Vision job openings:
AI Engineer - Computer Vision

AI Engineer - Computer Vision

Detect

Miami, FL

Other

Posted 28 days ago


Job description

Why Join Us?
  • Growth: With a strong emphasis on personal development, we encourage continuous learning and tackling challenging projects that contribute to your professional growth.
  • Impact: Play a pivotal role in shaping the future of our technology and products, directly influencing the success of our solutions.
  • Culture of experimentation: We live by the mantra "fail fast, fail often". By encouraging experimentation and learning from each failure, we pave the way for significant breakthroughs. We promote an environment where every team member is empowered to test new ideas, challenge the status quo and contribute to a culture of continuous innovation.
What you will do:

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI-driven inspection platform. You'll work alongside experienced engineers to tackle real-world problems in object detection, semantic segmentation, and image understanding. Here's a closer look at your responsibilities:

  • Experiment with and prototype computer vision models: Design, train, and evaluate deep learning models for object detection, segmentation and classification on real-world infrastructure imagery.
  • Support MLOps and data pipelines: Collaborate with the team to improve data preprocessing pipelines, model evaluation tools, and ML lifecycle tracking systems using tools like MLflow.
  • Perform error analysis and quality improvements: Analyze failure modes in models and datasets, and contribute to strategies for improving performance across edge cases.
Growth and Exploration Opportunities:
  • Advanced CV architectures: Explore and test state-of-the-art vision architectures including transformer-based vision models (e.g. ViTs, DINOv2, SAM3).
  • Production AI exposure: Gain hands-on experience in taking AI models from experimentation to deployment, including learning about dataset versioning, reproducibility, and model performance monitoring in production-like environments.
Requirements:
  • Experience building and deploying machine learning or computer vision solutions in real-world environments (production systems, customer-facing products, or internal platforms). Demonstrated experience through internships, research, or substantial projects is acceptable.
  • Strong foundation in computer vision and deep learning, with hands-on experience in areas such as object detection, semantic segmentation, or image classification.
  • Proficiency in Python and practical experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience working with end-to-end ML workflows, including data preprocessing, model training, evaluation, and iteration.
  • Comfortable working in ambiguous problem spaces and translating real-world constraints into technical solutions.
  • Strong communication skills and the ability to collaborate effectively with engineers, product, and operational teams
Nice to Have:
  • Experience deploying or supporting ML models in production (e.g., APIs, batch inference pipelines, edge deployment, or cloud-based systems).
  • Hands-on experience with MLOps tooling such as MLflow, Weights & Biases, DVC, or similar experiment tracking and lifecycle tools.
  • Familiarity with cloud platforms (GCP, AWS, or Azure) and containerized workflows (Docker).
  • Experience with large-scale or high-resolution imagery, including aerial, satellite, or infrastructure inspection data.
  • Experience improving model performance through data-centric approaches (dataset curation, labeling strategies, augmentation).
Details:
  • Location: Miami (In Office)
  • Salary range: 90k-120k USD
  • Note: This role is open to both junior and senior candidates. Scope, ownership and compensation will be calibrated based on experience.