Job Requisition ID #
25WD89725
25WD85433, Machine Learning Developer
French translation to follow!/Traduction française à suivre!
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 Machine Learning 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 or remote work in Canada.
Responsibilities
Collaborate with other engineers to develop scalable data pipelines and architectures
Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
Write production-quality code for model training, testing, and deployment.Design and execute model experiments, evaluate performance, and iterate based on findings
Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
Perform requirements analysis, working with team members of different levels and documenting solutions
Communicate your findings through quantitative data analysis and qualitative visuals and insights
Implement agile approaches ensuring flexibility and responsiveness to evolving project needs
Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, or a related technical field, or equivalent industry experience
3–5+ years of hands-on experience in machine learning engineering or a closely related field
Expertise in training deep neural networks (e.g., CNNs, Transformers), with proficiency in modern deep learning libraries and frameworks such as PyTorch, Lig...
