Autodesk

2 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Design, develop, and deploy machine learning solutions for AI-powered Autodesk product capabilities focused on 3D geometry, multimodal AI, and generative AI. You’ll build scalable data pipelines and ML workflows, implement evaluation methodologies and benchmarks, and collaborate with researchers and engineers to turn experiments into production-ready features. Own MLOps for model versioning, deployment, monitoring, and continuous improvement while analyzing performance and communicating results.

Location: Toronto, Ontario

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 ML workflows for data preparation, model training, evaluation, and inference.
•Design and implement evaluation methodologies, benchmarks, and experiments to measure performance, robustness, and quality.
•Build and maintain MLOps workflows for model versioning, deployment, monitoring, and continuous improvement.
•Analyze model performance and failure modes, implement improvements, and document and present technical results to collaborators and leadership.

Pay and Benefits

Salary: USD 123,000 - 180,400 annually

Equity and Bonus:Equity

Key Requirements

•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 across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment.
•Proficiency with modern deep learning frameworks such as PyTorch and Hugging Face.
•Hands-on experience with computational geometry and 3D data (e.g., meshes, B-Rep models) and complex 2D/3D data representations.

Experience:5+ years

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PyTorchHugging FaceRayAWSAzureGoogle Cloud PlatformLLMsGenerative AI3D geometryMeshesB-RepCADCAECAM

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Autodesk

2 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Toronto, Ontario

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 ML workflows for data preparation, model training, evaluation, and inference.
•Design and implement evaluation methodologies, benchmarks, and experiments to measure performance, robustness, and quality.
•Build and maintain MLOps workflows for model versioning, deployment, monitoring, and continuous improvement.
•Analyze model performance and failure modes, implement improvements, and document and present technical results to collaborators and leadership.

Pay and Benefits

Salary: USD 123,000 - 180,400 annually

Equity and Bonus:Equity

Key Requirements

•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 across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment.
•Proficiency with modern deep learning frameworks such as PyTorch and Hugging Face.
•Hands-on experience with computational geometry and 3D data (e.g., meshes, B-Rep models) and complex 2D/3D data representations.

Experience:5+ years

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PyTorchHugging FaceRayAWSAzureGoogle Cloud PlatformLLMsGenerative AI3D geometryMeshesB-RepCADCAECAM

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor