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

Position Overview

We are seeking a Senior Machine Learning Engineer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and engineers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

• Design, develop, and optimize machine learning models for AI-powered product 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 datasets and representations for model training, evaluation, and analysis

• Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality

• Collaborate with researchers and engineers to transform experimental ideas into scalable, production-ready product capabilities

• Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement

• Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency

• Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

• 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

Preferred Qualifications

• 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)