Machine Learning Engineer 3d Geometry/ Multi-modal

Autodesk Autodesk · Enterprise · EMEA - United Kingdom - London - Agar St, AMER - Canada - Ontario - Toronto - University Ave

Machine Learning Engineer at Autodesk Research to build new ML-powered product features, implementing generative AI features in Autodesk products. Requires experience in scaling ML training and data pipelines, computational geometry, and deploying ML models.

What you'd actually do

  1. Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
  2. Support research through the construction of ML pipelines, prototypes, and reusable, testable code
  3. Process data and analyze feature extractions
  4. Analyze errors and provide solutions to problems
  5. Present results to collaborators and leadership

Skills

Required

  • BSc or MSc in Computer Science, or equivalent industry experience
  • 3+ years of machine learning experience
  • Experience scaling machine learning training and data pipelines
  • Experience with computational geometry and geometric methods including mesh or B-Rep models
  • Experience with version control, reproducibility, and deploying machine learning models
  • Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
  • Experience with cloud services and architectures (e.g. AWS, Azure)
  • Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
  • Excellent written documentation skills to document code, architectures, and experiments

Nice to have

  • Experience working with distributed systems
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

What the JD emphasized

  • 3+ years of machine learning experience
  • Experience scaling machine learning training and data pipelines
  • Experience with computational geometry and geometric methods including mesh or B-Rep models
  • Experience with version control, reproducibility, and deploying machine learning models
  • Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry

Other signals

  • implement generative AI features
  • build new ML-powered product features
  • computational geometry and geometric methods