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New Grad Machine Learning Jobs in Ontario (NOW HIRING)

... may change as new information is gained * Ability to break down a large problem into small ... Expertise with Machine Learning, Deep Learning and statistical modeling tools and libraries such as ...

... new business opportunities. Our mission is to increase the GDP of the internet, and we have a ... What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ...

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New Grad Machine Learning information

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

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

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Ontario? For New Grad Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Ontario look for? The top searched job categories for New Grad Machine Learning jobs in Ontario are:
What cities in Ontario are hiring for New Grad Machine Learning jobs? Cities in Ontario with the most New Grad Machine Learning job openings:
Infographic showing various New Grad Machine Learning job openings in Ontario as of July 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 100% In-person job distribution.
Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada

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

Autodesk, Inc.

Toronto, ON • On-site

$123 - $180.40/hr

Other

Posted 5 days ago

New


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

## Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, CanadaApplylocations: Toronto, ON, CAN: Ontario, CAN - Remoteposted on: Posted Todayjob requisition id: 26WD99904**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 #J-18808-Ljbffr

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


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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