Role Overview
Autodesk is hiring a mid-level Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada. This is a full-time role in Toronto. Part of Autodesk's Lifecycle hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Lifecycle roles is $105k-$140k (based on 202 comparable listings). Many employers share specifics during the interview process or after an initial screen.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Job description
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).
About Autodesk
Autodesk
trabajo.org
12 other open roles at Autodesk on TryApplyNow.
Frequently Asked Questions
How do I apply for the Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada position at Autodesk?
Use the Apply button above to submit your application directly to Autodesk. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada position at Autodesk located?
This position is based in Toronto. Autodesk has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada at Autodesk earn?
Autodesk has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada role at Autodesk posted?
This role was posted on July 9, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Similar Jobs
Global Partnership Manager, Private Equity
vacancy target jobs
Senior Autonomy Systems Research Scientist
Carnegie Mellon University
Senior Product Manager(reputed company Legal Management)
vacancy target jobs
Senior Software Engineer, Developer Platform
Anduril Industries
Senior Software Engineer, AI-Native Platform (Remote)
Murphy's Deli 811 Main
More Jobs at Autodesk
View all →AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get started freeNo credit card to start