AEC Data ML Architect — Principal Research Engineer

Position OverviewAutodesk 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 Construction Cloud—and Forma, our new Industry Cloud.As a Principal Research Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.Location: We support hybrid work, and you work near our Boston, Massachusetts or East Coast, United States.Job Requisition # 26WD98522ResponsibilitiesCollaborate with other engineers and scientists to develop scalable data pipelines for diverse AEC data sources used in production ML systems, including BIM, CAD, and infrastructure design dataWork with large-scale, multi-modal datasets including text and geometric data, to design novel preprocessing, augmentation, analysis and content understandingTransform unstructured AEC and infrastructure data into representations suitable for machine learningLead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMsApply deduplication, normalization, and validation techniques to ensure high-quality data in production environmentsArchitect and optimize pipelines for scalability, reproducibility, and cloud deploymentMentor junior engineers and provide technical guidance on complex data challengesDrive technical decision-making and influence best practices across the teamPerform requirements analysis with senior stakeholders, ensuring technical solutions meet both immediate project goals and long-term research objectivesCommunicate findings and technical insights through quantitative analysis, visualizations, and clear documentationContribute to agile workflows, ensuring flexibility and responsiveness to evolving project needsParticipate in technical planning and roadmap developmentMinimum Qualifications MSc or PhD in Computer Science, Engineering, or a related field5–8+ years of experience in Machine Learning, Engineering, or related fieldsProven technical leadership, including leading complex projects and influencing technical direction in cross-functional teamsStrong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architecturesFamiliarity with machine learning concepts and frameworks and how data is represented for trainingProficiency in Python and strong software development practicesAbility to translate research ideas into production-grade systemsExcellent communication skills with ability to influence and guide technical decisionsBackground in Architecture, Engineering, or Construction (AEC)Preferred Qualifications Experience with AEC data formats and workflows (e.g., BIM, IFC, CAD, or civil infrastructure design models)Exposure to AEC, infrastructure, or reality capture workflows and related platforms such as Autodesk Civil 3D, Infra Works, ReCap, or similar systems is a plusExperience delivering production ML or data systemsStrong foundations in core computer science (data structures, algorithms, systems, and scalability)Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks such as Py Torch Experience building scalable data or ML pipelines in cloud environments (e.g., AWS, Sage Maker)Experience mentoring senior engineers or leading small technical teamsTrack record of driving technical innovation and engineering best practicesThe Ideal Candidate You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) and infrastructure customers by applying machine learning techniquesYou are…

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