PrincipalMachineLearningEngineer

**Job Requisition ID #** 26WD97131 **Position Overview** Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products - AutoCAD, Revit, and Autodesk Forma. As a Principal Machine Learning Engineer, you will operate at the intersection of AEC data, machine learning and exploratory analysis. This role goes beyond traditional model development; you will dive deep into complex design and construction datasets to uncover patterns, generate insights, and tell compelling data-driven stories that inform product direction and AI capabilities. You will prototype new workflows, build and curate high-quality datasets, and collaborate closely with AI researchers, ML engineers, product managers, and designers to explore ambiguous problem spaces. Your work will directly influence how next-generation AI systems understand and interact with AEC data. This role is ideal for someone with a strong foundation in AEC (through education or industry experience), solid programming skills (Python and/or TypeScript), and a passion for making sense of messy, high-dimensional data. If you enjoy blending analytical thinking, technical depth, and storytelling to drive innovation and thrive in fast-moving, exploratory environments, we’d love to hear from you. Report: You will report to an ML Development Manager for the Generative AI team Location: Canada Hybrid or Remote **Responsibilities** * Explore and make sense of AEC data at scale: Dive into complex design and construction datasets (e.g. BIM models, drawings, geometry, point clouds, metadata) to uncover patterns, anomalies, and opportunities, translating raw data into meaningful insights and narratives * Tell compelling data-driven stories: Synthesize findings into clear, impactf