AI Engineer - Computer Vision

About Detect

At Detect, we are 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.

• 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". We promote experimentation and learning from failure to pave the way for breakthroughs and empower every team member to test ideas and contribute to continuous innovation.

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 powering our AI-driven inspection platform. You will work with experienced engineers to tackle real-world problems in object detection, semantic segmentation, and image understanding.

• 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 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.

• Advanced CV architectures: Explore and test state-of-the-art vision architectures including transformer-based models (e.g., ViTs, DINOv2, SAM3).
• Production AI exposure: Gain hands-on experience taking AI models from experimentation to deployment, including dataset versioning, reproducibility, and model performance monitoring in production-like environments.

• Experience building and deploying machine learning or computer vision solutions in real-world environments (production systems, customer-facing products, or internal platforms). Internships, research, or substantial projects are acceptable.
• Strong foundation in computer vision and deep learning, with hands-on experience in object detection, semantic segmentation, or image classification.
• Proficiency in Python and practical experience with deep learning frameworks such as PyTorch or Tensor Flow.
• 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.

• 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).

• Location:
  
  Miami (In Office)
• Note:
  
  This role is open to both junior and senior candidates. Scope, ownership, and compensation will be calibrated based on experience.

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.