Hybrid Machine Learning Engineer, 3D Geometry, Multi-Modal

Posted 4 weeks ago

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About the role

  • Machine Learning Engineer at Autodesk working on ML-powered product features and collaborating with researchers. Involves building ML pipelines and engaging with a global team.

Responsibilities

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

Requirements

  • 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

Benefits

  • Annual cash bonuses
  • Stock grants
  • Comprehensive benefits package

Job title

Machine Learning Engineer, 3D Geometry, Multi-Modal

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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