Build something IRL using your digital wizardry.Struction’s mission is to replace today’s compute modality on the build-side of construction: blueprints (architectural / construction drawings). Architects and engineers already work in digital (though semantically poor) environments. Regardless, their output - 2D drawings and narratives - still serve as the technical language on the jobsite. The worst part about using 2D drawings (PDF’s) is the time it takes to familiarize and integrate with a new project. That’s why Struction’s first move is to automate the onboarding process for every subcontractor and supplier and replace it with something dimensionally richer: 4D simulation. If we succeed, we will be the proprietors of THE compute platform in construction, replacing the job of drawings on jobsites today. We’re based out of Colorado ... We’ll be working out of the Denver Metro area.ResponsibilitiesStruction’s lead computer vision researcher / engineer will transition to lead the architecture of Struction’s ML vision models, model training, and computer vision inference.1. Architect multi-modal, multi-step tasking of trained, fine-tuned, and adopted ML models on a previously untouched dataset of semantically rich imagery.2. Ideate, optimize, and implement new architectures to capture latent intelligence of cutting-edge models and improve reliability, performance and efficiency.3. Design machine learning system architecture that can abstract and automate critical machine learning product lifecycle including training, model management, tracking, cost management, and deployment.Minimum Qualifications1. You have developed cutting-edge, novel models for computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.2. You have worked with large amounts of real-world data, built data pipelines, and designed model architectures to productionize models. You have rapidly executed complex experiments to evaluate models in production environments.3. You understand machine learning methods, linear algebra, and statistics; you have been through the full ML model lifecycle and solved challenges at each stage in development.4. You have successfully built unique models utilizing at least one deep learning framework, like PyTorch, TensorFlow, Keras, etc.5. You prefer to move fast than to perfect; but you still respect perfection.6. You should really enjoy what you do; everyone at Struction is excited to go to work.7. High tolerance for risk; you shouldn’t scare easy.8. Sense of humor.9. Gritty & Scrappy.10. Bachelor’s degree in Computer Science, or you can build >5x faster and better than any recent CS graduate.Preferred Qualifications1. Masters or PhD in computer vision, machine learning, NLP, computer science, or other related fields.2. MLOps experience deploying, monitoring, and maintaining data science products (mlFlow, Airflow, Docker) in cloud environments such as AWS or Microsoft Azure.3. Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark.As employee #1, you will be compensated according to your qualifications and the natural risk of the role (cash + equity). We offer health insurance, 401k, and a once-in-a-lifetime experience. Send your resume and tell us why you’re a good fit: cracked@struction.co.