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Google Machine Learning Engineer Jobs in Ontario

BDO Canada

Senior Machine Learning Engineer

Oakville, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

London, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Td

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$170K - CA$250K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...

onsemi

Machine Learning Engineer, Edge AI

Waterloo, ON

CA$120K - CA$170K/yr

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our next-generation AI accelerators. As our products evolve to include dedicated neural network hardware ...

EvenUp

Staff Machine Learning Engineer

Toronto, ON · On-site

$160 - $210/hr

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how machine learning powers Piai, our proprietary claims‑intelligence platform. This is a technical ...

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Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsGoogle Machine Learning Engineer Jobs in Ontario

Google Machine Learning Engineer information

See Ontario salary details

$25.5K

$137.3K

$223.5K

How much do google machine learning engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for google machine learning engineer in Ontario is $137,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $170,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Machine Learning Engineer position, and why are they important?

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What is a Google Machine Learning Engineer job?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What types of projects and collaborations can Google Machine Learning Engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What are popular job titles related to Google Machine Learning Engineer jobs in Ontario? For Google Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Google Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Google Machine Learning Engineer jobs in Ontario are:
Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Ontario as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $137,346 per year, or $66 per hour.
Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada

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

Autodesk

Toronto, ON • On-site

CA$123K - CA$180K/yr

Other

Posted 15 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 217 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

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