Senior Machine Learning Developer, 3D Geometry & Multimodal AI

Autodesk
Toronto, Quebec, Montreal, Ontario
Full timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: high_schoolSkills: ["Communication","Collaboration","Problem-solving"]

Design, develop, and deploy machine learning solutions for Autodesk’s next-generation AI-powered product capabilities, focusing on 3D geometry, multimodal AI, and generative AI. Own the full ML lifecycle—from research and experimentation to data pipelines, model training, evaluation, and MLOps-driven production deployment. Collaborate with researchers and developers to turn experimental ideas into scalable, high-quality features while measuring performance, robustness, and reliability.

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FursaFursa
Autodesk
Autodesk
1 month ago

Senior Machine Learning Developer, 3D Geometry & Multimodal AI

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and deploy machine learning solutions for Autodesk’s next-generation AI-powered product capabilities, focusing on 3D geometry, multimodal AI, and generative AI. Own the full ML lifecycle—from research and experimentation to data pipelines, model training, evaluation, and MLOps-driven production deployment. Collaborate with researchers and developers to turn experimental ideas into scalable, high-quality features while measuring performance, robustness, and reliability.
Location: Toronto, Quebec, Montreal, Ontario
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and optimize ML models for AI-powered product features using 3D geometry, multimodal AI, and generative AI.
  • •Build and maintain scalable data pipelines and ML workflows for data prep, training, evaluation, and inference.
  • •Implement evaluation methodologies, benchmarks, and experiments to assess performance, robustness, and quality.
  • •Collaborate with researchers and developers to convert experimental ideas into scalable, production-ready product capabilities.
  • •Build and maintain MLOps workflows for model versioning, deployment, monitoring, and continuous improvement; analyze failures and implement improvements.

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent experience.
  • •5+ years of professional experience developing machine learning solutions across the ML lifecycle.
  • •Experience covering research, data pipelines, model training, evaluation, MLOps, and production deployment.
  • •Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face).
  • •Experience with computational geometry and 3D data (e.g., meshes, B-Rep models) and complex 2D/3D representations.
Experience:5+ yearsMachine learningAI3D dataMultimodal AIGenerative AI
Education:High School
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PyTorchHugging FaceRayAWSAzureGoogle Cloud PlatformLLMsGenerative AI3D geometryB-Rep

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
Glassdoor: 3.9
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