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Internship Computer Vision Robotics Jobs in Florida

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 ...

Robotics Service Technician

Miami, FL · On-site

$21 - $24/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

Basic exposure to robotics concepts, machine learning, or computer vision (through classes or ... Previous internship, co-op, or project experience in any technical field * Participation in coding ...

Physical AI Senior Manager

Tampa, FL · On-site

$119.50K - $157.80K/yr

Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking, manufacturing assembly) * Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs ...

This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Coursework or project experience with computer vision, time-series data, or sensor processing

Physical AI Senior Manager

Jacksonville, FL · On-site

$117.20K - $154.70K/yr

Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking, manufacturing assembly) * Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs ...

Senior Robotics Engineer

Titusville, FL · On-site

$85.80K - $117.80K/yr

Hands-on experience with computer vision systems and their application to warehouse automation (e.g ... robotic system integration * Experience working in aerospace, defense, or highly regulated ...

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We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

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Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What are Internship Computer Vision Robotics positions?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What cities in Florida are hiring for Internship Computer Vision Robotics jobs? Cities in Florida with the most Internship Computer Vision Robotics job openings:
Infographic showing various Internship Computer Vision Robotics job openings in Florida as of May 2026, with employment types broken down into 17% Full Time, 74% Part Time, and 9% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
AI Engineer - Computer Vision

AI Engineer - Computer Vision

DeTect

Miami, FL

Other

Posted 3 days ago


Job description

About Detect
At Detect, we're redefining how organizations see and respond to the world around them. Our mission is to turn complex data into clear, actionable insights that drive smarter decisions. We build cutting-edge solutions that fuse technology, geospatial intelligence, and automation to solve real-world challenges - from infrastructure management and public safety to climate resilience and beyond.
As a fast-growing, innovation-driven company, we're always looking for passionate and curious people to join our team. We value creativity, collaboration, and a commitment to excellence. At Detect, you'll work on impactful projects, use the latest tools and technologies, and help shape the future of intelligent systems.
Whether you're building software, analyzing data, or designing user experiences, you'll find your place here
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.

Join Us!
If you're looking to make a real-world impact and grow with a company that values innovation, purpose, and people - we'd love to hear from you. At Detect, your ideas matter, your work has meaning, and your growth is our priority.
Tomorrow's Energy,
Today's Intelligence