Autodesk
Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 11, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
Canada
Role overview
Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- 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
- 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
- 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)
Similar roles
Keep a backup shortlist.
AWS, Azure Canada
Enterprise Solutions Engineer, AlbertaVerkadaView role AWS, Azure 38 accepted countries
Staff Enterprise Security EngineerBoxView role AWS, Azure 1 accepted country
Enterprise Solutions Engineer, Ohio/Indiana, SLEDVerkadaView role AWS, Azure 1 accepted country
Enterprise Solutions Engineer, Central CorpVerkadaView role Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.