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Principal Research Engineer: AEC Geometric Data-Generative AI US or Canada

Autodesk

$146,900 - $237,600
Sep 17, 2025
Boston, MA, US
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Autodesk is looking to integrate AI technology into its AEC industry products to enhance design and engineering workflows by building 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
  • Ability to translate theoretical concepts into practical solutions and prototypes
  • Strong documentation skills for code, architectures, and experiments
  • Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks like PyTorch or Lightning

Responsibilities

  • Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources
  • 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
  • Perform requirements analysis, working with team members of different levels and documenting solutions clearly

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
  • Demonstrated ability to provide technical leadership in cross-functional environments
  • Background in Architecture, Engineering, or Construction (AEC)