ZipRecruiter

Log In

1

3D Machine Learning Jobs in Toronto, ON (NOW HIRING)

Waabi

Senior / Staff Perception Engineer

Toronto, ON

CA$158K - CA$269K/yr

... machine learning features/models into production. - Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes. - Passion for ...

Autodesk

Principal Data Scientist

Toronto, ON · On-site

CA$129K - CA$189K/yr

Experience in data mining, large-scale analytics, or machine learning in production environments. * Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

... rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi ... You are familiar with the internals of modern machine learning (diffusion models, vision ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... 3D representation learning, differentiable rendering, and scalable reconstruction systems. Qualifications: - Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning ...

Waabi

Senior / Staff Software Engineer, Mapping

Toronto, ON · On-site +1

CA$141K - CA$242K/yr

... 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS. - Familiarity with Machine Learning pipelines or integrating AI models into production engineering ...

Waabi

Senior / Staff Graphics Software Engineer

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... and machine learning. - Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian ...

next page

Showing results 1-20

All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Toronto, ON

3D Machine Learning information

What are some common challenges faced by professionals working in 3D machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is 3D machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3D Machine Learning Engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Toronto, ON? For 3D Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Toronto, ON look for? The top searched job categories for 3D Machine Learning jobs in Toronto, ON are:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 27% Full Time, 64% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada

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

Autodesk

Toronto, ON

CA$123K - CA$180K/yr

Other

Posted 17 days ago

Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

25th of 245 rated software companies

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).

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

View All Autodesk Jobs

Apply