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

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract 2D and 3D features from remotely sensed high-resolution imagery (i.e. satellite, aerial, drone ...

Autodesk

Intern, Research Associate (HCI)

Toronto, ON · On-site

User Interfaces for generative AI or Machine Learning Systems, Information Visualization, Software ... Experience with programming 3D graphics, Unity, Unreal Engine * Experimental design and data ...

Autodesk

Intern, Research Associate (HCI)

Toronto, ON · On-site

User Interfaces for generative AI or Machine Learning Systems, Information Visualization, Software ... Experience with programming 3D graphics, Unity, Unreal Engine * Experimental design and data ...

Waabi

Senior / Staff Graphics Software Engineer

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... 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 ...

Waabi

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Waabi

Senior / Staff Software Engineer, Web Tools

Toronto, ON · On-site +1

CA$141K - CA$249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... 3D visualization (WebGL) / real-time interactive systems. - Experience with web visualization ... with robotics or machine learning research teams. - Experience working in an Agile/Scrum ...

Spiria

Lead Software Developer

Oakville, ON

CA$100/hr

  • Medical

  • PTO

... learning curve when learning new languages. In addition to actively participating in the ... 3D visualization of machine controls. * Define and enforce architectural patterns for frontend ...

Alstom

Mechanical Design Engineer

Toronto, ON · On-site

CA$85K - CA$110K/yr

  • Medical

  • Life

  • Retirement

You'll specifically take care of developing 3D models, design annotations, and Bill of Materials ... Knowledge of metallic materials, industrial processes (such as welding, bending, machining), and ...

Alstom

Mechanical Design Engineer

Toronto, ON

CA$85K - CA$110K/yr

  • Medical

  • Life

  • Retirement

You'll specifically take care of developing 3D models, design annotations, and Bill of Materials ... Knowledge of metallic materials, industrial processes (such as welding, bending, machining), and ...

Weir Group

Design Engineer

Mississauga, ON

CA$95/hr

... high-quality 3D models, detailed drawings, BOMs, specifications, and manufacturing packages ... Knowledge of fabrication, welding, machining, casting, materials selection, and industrial ...

Weir

Design Engineer

Mississauga, ON · On-site

CA$95/hr

... high-quality 3D models, detailed drawings, BOMs, specifications, and manufacturing packages ... Knowledge of fabrication, welding, machining, casting, materials selection, and industrial ...

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Showing results 21-40

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

3D Machine Learning information

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 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 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.

Business Development (Intern)

Ecopia Tech

Toronto, ON • Remote

Full-time, Internship

Posted 12 days ago

Job description

About Ecopia AI
Ecopia AI, is a technology company with the mission of digitizing the world using artificial intelligence through the creation of high-definition maps. Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract 2D and 3D features from remotely sensed high-resolution imagery (i.e. satellite, aerial, drone, street view, etc.). Ecopia has experience leveraging AI and geospatial data to create and maintain large-scale, highly accurate maps across 100+ countries around the world. Specifically, Ecopia has generated maps across over 50 million km2 around the world from fresh high-resolution satellite & aerial imagery. Ecopia is one of the fastest-growing technology companies in North America, continuously recognized with awards from leading organizations such as Deloitte, CNBC, and Geospatial World. Example clients include:

  • Federal Governments (including the US, United Kingdom, Canada, Australia, New Zealand);
  • State Governments (including Connecticut, California, Washington, Illinois, Alaska);
  • Local Governments (including Los Angeles, Seattle, Detroit, Toronto);
  • Large insurance companies (including 7 of the top 10 US P&C carriers); and
  • NGOs (including the Bill & Melinda Gates Foundation, the World Bank, and USAID)

We are expanding into a dedicated civil engineering vertical, and this internship will support revenue growth through prospecting, calls and emails to potential customers.


The Role
As a Business Development Intern, you will support our go to market efforts within the civil engineering space. This is hands on and client facing role designed for students pursuing a degree in business. Your responsibilities will involve outbound outreach, account research, and early-stage conversations with engineering firms. Your typical day will involve prospecting new companies and individual users and reaching out to them via cold calls, emails, LinkedIn, and others. You will work closely with senior team members to learn how data is positioned, pitched, and sold into real engineering workflows.

What You'll Do

  • Research and identify firms that align with Ecopia's data offerings
  • Support outbound outreach efforts through email, calls, and LinkedIn
  • Help initiate conversations with engineering firms and qualify early interest
  • Maintain accurate lead and activity tracking
  • Sit in on sales and discovery calls to understand customer needs and use cases
  • Help refine messaging tailored to civil engineering applications

What We're Looking For

  • Strong written and verbal communication skills
  • Comfortable with outreach, follow ups, rejection, and relationship building
  • Organized, self-motivated, and comfortable working toward clear goals and KPIs

What You'll Gain

  • Competitive salary with commission opportunity
  • Real world experience in technology based business development
  • Meaningful work from day 1 that directly impacts company revenue
  • Understanding on how new business verticals are developed and go-to-market strategies
  • Direct mentorship from experienced business development professionals
  • A strong foundation for careers in sales, consulting, engineering, or technology
  • Exposure to how infrastructure data supports engineering decisions

Apply