Job Description
<h3>📋 Description</h3> • Develop new ML models and AI techniques
• Lead on research projects within a global team
• Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
• Explore new data sources and discover techniques for best leveraging data
• Connaissance de la représentation et de la gestion des données structurées dans les flux de travail AEC (modélisation des données du bâtiment, spécifications structurelles, documentation du projet)
• Publication track record in machine learning conferences and/or journals <h3>🎯 Requirements</h3> • A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
• Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
• Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
• Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
• Strong coding abilities in Python
• Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)