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

  • Canada

For Canada based roles, we expect a starting base salary between $123,000 and $180,400. · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Job type
Full-time
Experience
5+ years of professional experience developing machine learning solutions
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Job Requisition ID #

26WD99904

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)

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).
More about this job

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features. Collaborate with researchers and engineers to transform experimental ideas into scalable, production-ready product capabilities.

Requirements

Candidates should have a Bachelor’s or Master’s degree in a relevant field and at least 5 years of professional experience in machine learning. Proficiency in modern deep learning frameworks and experience with 3D data and MLOps is also required.

Skills

  • Machine Learning
  • 3D Geometry
  • Multimodal AI
  • Generative AI
  • Data Pipelines
  • Model Training
  • MLOps
  • Deep Learning
  • Computational Geometry
  • Version Control
  • AI Tools
  • Cloud Platforms
  • Research
  • Experimentation
  • Software Development
  • Technical Communication

Benefits

  • Annual Cash Bonuses
  • Stock Grants

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Engineering
  • Data & Analytics
  • Software
  • Creative & Media

Keywords

  • Machine Learning
  • 3D Geometry
  • Multimodal AI
  • Generative AI
  • Data Pipelines
  • Model Training
  • MLOps
  • Deep Learning
  • PyTorch
  • Hugging Face
  • Computational Geometry
  • 3D Data
  • Version Control
  • AI Tools
  • Cloud Platforms
  • AWS
  • Azure
  • Google Cloud Platform
  • Research
  • Experimentation
  • Software Development
  • Technical Communication
  • Autodesk
  • CAD
  • CAE
  • CAM
  • Design
  • Manufacturing
  • AEC
  • Media

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