Autodesk is leading the transformation of the AEC industry by 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 spans our flagship products—AutoCAD, Revit, and Construction Cloud—as well as Forma, our new Industry Cloud.

As a Senior Research Engineer on the AEC Solutions team, you will join a collaborative group of technologists working to build foundation models and generative AI tools for the AEC industry. You will work closely with engineers and researchers to create and interpret design data that enhances design and engineering workflows, while growing your technical skills in data engineering and machine learning systems.

Reporting: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions team.Machine Learning M

Location: We support hybrid work, and this role can be based in the US or Canada.

• Contribute to the development of data pipelines for diverse AEC data sources under guidance from senior team members

• Work with large-scale, multi-modal datasets, including text and geometric data, to support preprocessing, augmentation, analysis, and content understanding

• Assist in transforming unstructured AEC data into representations suitable for machine learning workflows

• Collaborate with ML Research Scientists and Engineers to support alignment of data formats with downstream model training and fine-tuning

• Apply data cleaning, normalization, and validation techniques to help maintain data quality

• Support the implementation and optimization of data pipelines for scalability and cloud deployment

• Participate in requirements gathering and contribute to documenting technical solutions

• Communicate findings and progress through clear documentation, basic analysis, and visualizations

• Contribute to agile development workflows and adapt to changing project needs

• Learn and apply engineering best practices through code reviews, mentorship, and team collaboration

• BS or MS in Computer Science, Engineering, or a related field

• 3–5+ years of experience in software engineering, data engineering, machine learning, or related roles

• Experience working with Python and standard software engineering practices

• Familiarity with data processing, data modeling, or ETL pipelines

• Basic understanding of machine learning concepts and how data is used for training models

• Exposure to 2D or 3D geometric data or interest in learning computational geometry techniques

• Ability to translate technical concepts into working code with guidance

• Willingness to learn and grow through feedback and mentorship

• Clear written and verbal communication skills

• Exposure to AEC data formats such as CAD files, BIM models, or IFC files

• Familiarity with the AEC industry or strong interest in the domain

• Experience with machine learning or deep learning frameworks such as PyTorch

• Coursework or hands-on experience with computational geometry or graphics

• Exposure to cloud platforms such as AWS and scalable data processing tools

• Experience working in collaborative, cross-functional teams

You are curious, motivated, and excited to learn how machine learning and data engineering can be applied to real-world AEC problems. You enjoy collaborating with others, building practical systems, and growing your technical impact over time.