Machine Learning Engineer 3d Geometry & Multimodal AI Toronto, Canada

Autodesk Autodesk · Enterprise · Toronto, ON +1 · Remote

Seeking a Senior Machine Learning Engineer to design, develop, and deploy ML solutions for Autodesk products, focusing on 3D geometry, multimodal AI, and generative AI. Responsibilities include building ML pipelines, evaluation methodologies, MLOps, and transforming research into production capabilities.

What you'd actually do

  1. Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
  2. Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
  3. Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
  4. Collaborate with researchers and engineers to transform experimental ideas into scalable, production-ready product capabilities
  5. Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement

Skills

Required

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
  • 5+ years of professional experience developing machine learning solutions
  • Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
  • Experience working in research or experimental environments with evolving requirements
  • Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
  • Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
  • Experience working with complex data representations, including 2D and 3D geometry
  • Experience with version control, reproducibility, and deploying machine learning models
  • Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
  • Excellent written and verbal communication skills

Nice to have

  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
  • Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
  • Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
  • Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

What the JD emphasized

  • 5+ years of professional experience developing machine learning solutions
  • Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
  • Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
  • Experience working with complex data representations, including 2D and 3D geometry

Other signals

  • design, develop, and deploy machine learning solutions
  • transform research into production-ready product capabilities
  • 3D geometry, multimodal AI, and generative AI