Autodesk is leading the transformation of the AEC industry, integrating AI technology into their products, and the Senior Research Engineer will help build foundation models and generative AI tools for the AEC industry
Requirements
- Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry
- Experience with computational geometry and geometric data methods
- Familiarity with machine learning concepts and frameworks and how data is represented for training
- Proficiency in Python and strong software engineering practices
- Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
- Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks like PyTorch or Lightning
- Experience with AWS cloud services and SageMaker Studio for scalable data processing
Responsibilities
- Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources
- Mentor junior engineers and provide technical guidance on complex data engineering challenges
- Work with large-scale, multi-modal datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
- Transform unstructured AEC 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 at scale
- Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
Other
- MSc in Computer Science, Engineering, or a related field
- 7-10+ years of experience in Machine Learning, Engineering, or related fields
- 2+ years of experience leading technical projects or mentoring junior engineers
- Excellent communication skills with ability to influence and guide technical decisions
- Ability to work in a hybrid work environment, with the option to work in the US or Canada
