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Computer Vision/AI Co-op

DetectMiami, Florida

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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 Computer Vision / AI Co-op, 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: Assist in the design, training, and evaluation of deep learning models using PyTorch and TensorFlow. Focus areas include object detection, segmentation, and classification for 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) and multi-view fusion techniques.
  • 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:

  • Strong interest in computer vision, AI, and machine learning, with coursework or project experience in areas like object detection, segmentation, or image classification.
  • Proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Eagerness to learn, experiment, and solve ambiguous technical challenges in a fast-paced, collaborative environment.
  • Strong communication abilities and a willingness to contribute to cross-functional teams.

 

Nice to Have:

  • Experience with tools for tracking and visualizing ML experiments (e.g., MLflow, Weights & Biases).
  • Familiarity with version control (Git) and basic command-line tools.
  • Exposure to geospatial data, aerial imagery, or map-based interfaces.
  • Prior internship or project experience involving applied machine learning or computer vision.
  • Enthusiasm for startups or small teams working on impactful real-world problems.

 

Details:

  • Location: Miami (In Office)
  • Timeline: Fall Semester (September to December)
  • Hourly Rate: $30/hr
  • Open to CPT/OPT

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

 

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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