3 days ago
Toronto, Canada or Montréal, CanadaSenior
Responsibilities
- Design, develop, and optimize machine learning models for AI-powered features involving 3D geometry, multimodal AI, and generative AI.
- Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference.
- Work with complex 2D and 3D datasets and representations, including meshes and B-Rep models.
- Design evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality.
- Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities.
- Build and maintain MLOps workflows for model versioning, deployment, monitoring, and continuous improvement.
- Analyze model performance, identify failure modes, and improve model accuracy, reliability, and efficiency.
- Document and present technical designs, experimental results, and findings to collaborators and leadership.
Requirements
- Bachelor’s or master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience.
- At least 5 years of professional experience developing machine learning solutions.
- Experience 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 such as PyTorch and Hugging Face.
- Experience with computational geometry, 3D data, and complex 2D and 3D data representations.
- Experience with version control, reproducibility, and machine learning model deployment.
- Hands-on experience using modern AI or generative AI tools to improve software development, experimentation, or machine learning workflows.
- Excellent written and verbal communication skills.
- Preferred: MSc or PhD in Machine Learning, Computer Science, or a related field.
- Preferred: experience with LLMs or generative AI systems, including fine-tuning, prompting, evaluation, or agentic workflows.
- Preferred: experience scaling machine learning training and data pipelines with Ray or similar frameworks.
- Preferred: experience with AWS, Azure, or Google Cloud Platform.
- Preferred: knowledge of design, manufacturing, AEC, or media and entertainment industries, and experience with Autodesk or similar CAD, CAE, or CAM products.
Benefits
- For Canada-based roles, the stated starting base salary is $123,000–$180,400 CAD annually, with offers varying by experience and geographic location.
- The compensation package may include annual cash bonuses, stock grants, and comprehensive benefits.
- The role may require in-person onboarding and/or in-person identity verification.
Tech Stack
Categories
About Autodesk
Autodesk builds design and engineering software used in architecture, construction, manufacturing, and media and entertainment. Its subscription-based portfolio includes AutoCAD, Revit, Fusion 360, Maya, and 3ds Max, along with cloud collaboration and simulation services. Founded in 1982 and headquartered in San Francisco, the public company trades on NASDAQ as ADSK and serves customers ranging from AEC firms to product designers and film and game studios.