Autodesk

Architecture, Engineering, and Construction (AEC)

PrincipalResearchEngineerAECData-GenerativeAI

$275–425k ~AI est. Boston, Massachusetts, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Research Engineer AEC Data - Generative AI 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; Complex data challenges

What They're Looking For.

Must Have

MSc or PhD in Computer Science, Engineering, or related field, 5–8+ years of experience in Machine Learning, Engineering, or related fields, Proven technical leadership, Experience in geometric data modeling and processing, Familiarity with machine learning concepts and frameworks, Proficiency in Python, Proficiency in software development practices, Ability to translate research ideas into production-grade systems, Excellent communication skills, Ability to influence and guide technical decisions, Background in Architecture, Engineering, or Construction (AEC)

Nice to Have

Experience with AEC data formats and workflows, Exposure to AEC, infrastructure, or reality capture workflows, Experience delivering production ML or data systems, Foundations in core computer science, Understanding of deep learning architectures, Familiarity with frameworks such as PyTorch, Experience building scalable data or ML pipelines in cloud environments, Experience mentoring senior engineers, Experience leading small technical teams, Track record of driving technical innovation, Track record of driving engineering best practices

What You'll Do.

Develop scalable data pipelines

Design novel preprocessing

Design novel augmentation

Design novel analysis

Design novel content understanding

Transform unstructured AEC data

Transform infrastructure data

Align data formats with downstream training

Align data formats with fine-tuning LLMs

Apply deduplication techniques

Apply normalization techniques

Apply validation techniques

Architect pipelines for scalability

Optimize pipelines for scalability

Architect pipelines for reproducibility

Optimize pipelines for reproducibility

Architect pipelines for cloud deployment

Optimize pipelines for cloud deployment

Mentor junior engineers

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; Collaborate with engineers; Collaborate with scientists; Collaborate with ML Research Scientists; Collaborate with Engineers

Communication Scope

Quantitative analysis; Visualizations; Documentation; Technical insights

Process & Methodology

Agile workflows, Roadmap development

Full Job Description

**Job Requisition ID #** 26WD98522 **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 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 **Responsibilities** * Collaborate 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 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 Engineers 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 junior engineers and provide technical guidance on complex data challenges * Drive technical decision-making and influence best practices across the team

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