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Machine Learning Assistant Jobs in Toronto, ON (NOW HIRING)

Canadian Tire

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

Lead machine learning projects that drive origination, credit limit and collection strategies ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Canadiantirecorporation

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

Lead machine learning projects that drive origination, credit limit and collection strategies ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

... clients. * Assist in delivery as AI SME, Solution Architect, or Technical Architect * Provide ... Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Source Code

RQ11252 - Sr. AI Engineer

Toronto, ON

CA$90.18 - CA$108.22/hr

... Machine Learning solutions. * Hands-on experience implementing Generative AI and Large Language ... Experience designing, developing and optimizing prompts for conversational AI, virtual assistants ...

KPMG

Senior Consultant - AI Governance

Toronto, ON

... team. * Assist with the design and conduct training and information sessions with KPMG ... Understanding of machine learning algorithms and their implications for risk, including supervised ...

iManage

Senior AI Engineer

Toronto, ON · On-site

... assistant, as well as document classification, extraction, and LLM-driven features that directly ... D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Toronto, ON

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Toronto, ON?

The most popular types of Machine Learning jobs in Toronto, ON are:

What are popular job titles related to Machine Learning Assistant jobs in Toronto, ON?

For Machine Learning Assistant jobs in Toronto, ON, the most frequently searched job titles are:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior QA Automation Engineer, AI Applications

Autodesk

Toronto, ON • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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 #

26WD99661

Position Overview

We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.

Responsibilities

  • Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features

  • Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage

  • Create and maintain test harnesses for AI services, applications, and APIs

  • Perform API testing for AI services and backend systems

  • Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features

  • Test AI/ML applications and machine learning models from a product and user perspective

  • Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior

  • Define structured rubrics that translate qualitative findings into measurable evaluation gates

  • Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing

  • Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications

  • Contribute to multi-team projects and codebases, ensuring code quality and consistency

  • Participate in code reviews and provide constructive feedback to peers

  • Document and present findings and ideas across the company

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

  • 5+ years of professional experience in software quality assurance, test automation, or software engineering

  • Strong programming skills in Python, with experience in test automation

  • Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality

  • Experience with CI/CD tools and processes

  • Familiarity with popular CAD environments and tooling

  • Proficient in automation and UAT test suites/frameworks

  • Experience designing QA frameworks or platforms used by multiple teams

  • Excellent problem-solving skills and attention to detail

  • Strong communication and collaboration skills

  • Understanding of software architecture and design patterns

  • Ability to work in an Agile development environment

Preferred Qualifications

  • Experience testing AI/ML applications or validating machine learning models

  • Experience with data validation tooling (e.g., Great Expectations) or labeling workflows

  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)

  • Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)

  • Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)

  • Knowledge of ML evaluation methods, metrics, and benchmarking

  • Passion for learning new technologies and improving existing systems

  • Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)

  • Experience testing AI/ML services in production environments

  • Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)

The Ideal Candidate

  • You demonstrate initiative to provide solutions and to learn and develop new technologies

  • Comfortable building QA systems from scratch and writing maintainable automation

  • You enjoy learning and collaborating across global locations

  • You are comfortable working in newly forming ambiguous areas

  • You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others

  • You effectively leverage AI-powered tools to improve testing workflows and engineering productivity

  • You can communicate well with others

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 $84,000 and $123,200. 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

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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

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