Autodesk

Architecture, Engineering, and Construction (AEC)

PrincipalResearchDeveloper:AECData

Boston, Massachusetts, United States; Toronto, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Research Developer: AEC Data at Autodesk. Skills: Generative AI, AEC Data, Machine Learning, Data Engineering. Develop scalable data pipelines. Design novel preprocessing”

Industry & Context.

Architecture, Engineering, and Construction (AEC)
Problems you'll solve

Solve hard problems

What They're Looking For.

Must Have

MSc or PhD in Computer Science, 5–8+ years of experience, Proven technical leadership, geometric data modeling and processing, machine learning concepts and frameworks, Proficiency in Python, software development practices, translate research ideas into production-grade systems, Excellent communication skills, Background in Architecture, Engineering, or Construction (AEC)

Nice to Have

Experience with AEC data formats, Experience with AEC workflows, Experience delivering production ML, Experience delivering data systems, foundations in core computer science, Understanding of deep learning architectures, familiarity with frameworks such as PyTorch, Experience building scalable data pipelines, Experience building ML pipelines, Experience mentoring senior engineers, leading small technical teams, Track record of driving technical innovation, engineering best practices

What You'll Do.

Develop scalable data pipelines

Design novel preprocessing

Design content understanding

Transform unstructured AEC data

Transform infrastructure data

Apply deduplication techniques

Apply normalization techniques

Apply validation techniques

Mentor junior developers

Provide technical guidance

Drive technical decision-making

Influence best practices

Perform requirements analysis

Communicate technical insights

Contribute to agile workflows

Participate in technical planning

Participate in roadmap development

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Agile workflows

Communication Scope

Technical insights; Documentation

Process & Methodology

Agile workflows, Roadmap development

Full Job Description

**Job Requisition ID #** 26WD94877 **26WD94877, Principal Research Developer: AEC Data - Generative AI** _French translation to follow!/Traduction française à suivre!_ **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 Construction Cloud—and Forma, our new Industry Cloud. As a Principal Research Developer 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 Toronto, Canada offices. **Responsibilities** * Collaborate with other developers and scientists to develop scalable data pipelines for diverse AEC data sources **used in production ML systems** , including **BIM, CAD, and infrastructure design data** * Work with large-scale, multi-modal datasets including text and geometric data, to design novel preprocessing, augmentation, analysis and content understanding * Transform unstructured AEC and infrastructure data into representations suitable for machine learning * Lead cross-functional collaboration with ML Research Scientists and Developers to align data formats with downstream training and fine-tuning of LLMs * Apply deduplication, normalization, and validation techniques to ensure high-quality data **in production environments** * Architect and optimize pipelines for scalability, reproducibility, and cloud deployment * Mentor junio

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