Autodesk - San Francisco, CA

posted 8 days ago

Full-time - Principal
Remote - San Francisco, CA
Publishing Industries

About the position

As a Principal Machine Learning Engineer at Autodesk Research, you will collaborate with a global team of researchers and engineers to develop and enhance machine learning-powered features for Autodesk products. This role focuses on implementing generative AI capabilities, leveraging your software engineering skills to solve complex problems and contribute to innovative solutions in the fields of design and manufacturing.

Responsibilities

  • Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
  • Develop new or improve existing ML models used in CAD software
  • Process data and analyze feature extractions
  • Design solutions based on error analysis
  • Present results to collaborators and leadership
  • Review relevant AI/ML literature to identify emerging methods, technologies, and best practices

Requirements

  • BSc or MSc in Computer Science, or equivalent industry experience
  • 3+ years of software development experience
  • Proficiency with modern deep learning techniques and frameworks (e.g. PyTorch, Lightning, Ray)
  • Experience with deploying machine learning models in production settings
  • Experience with version control, reproducibility, and writing reusable, testable code
  • 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)
  • Excellent written documentation skills to document code, architectures, and experiments

Nice-to-haves

  • Experience scaling ML training and data pipelines
  • 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.)

Benefits

  • Health and financial benefits
  • Time away and everyday wellness
  • Salary transparency
  • Annual cash bonuses
  • Stock grants
  • Comprehensive benefits package
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