ZipRecruiter

Log In

1

Junior Machine Learning Engineer Jobs in Toronto, ON

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that powers our System of Actions. You'll design and implement multi-agent Co-pilot systems that orchestrate ...

Autodesk

Machine Learning Ops Developer

Toronto, ON · On-site

... Engineer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Toronto, ON

Junior Machine Learning Engineer information

See Toronto, ON salary details

$24.8K

$113.7K

$198K

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

As of Aug 9, 2026, the average yearly pay for junior machine learning engineer in Toronto, ON is $113,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,367.00 and $142,196.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Toronto, ON? For Junior Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Toronto, ON look for? The top searched job categories for Junior Machine Learning Engineer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Junior Machine Learning Engineer jobs? Cities near Toronto, ON with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $113,717 per year, or $54.7 per hour.

Sr. Machine Learning Engineer, Content Shopping

Pinterest

Toronto, ON • Remote

Full-time

Re-posted 17 days ago

Job description

With more than 535 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,500 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
The Content Shopping Mining ML team builds machine learning systems that understand shopping-related content across the web, turning unstructured merchant pages into high-quality structured product data like price, title, availability, and images. This helps improve product experiences on Pinterest, including content quality, distribution, recommendations, and search; for example, see the team's KDD 2025 paper, Cross-Domain Web Information Extraction https://arxiv.org/pdf/2508.01096.

What you'll do:

  • Identify and evaluate high-value content sources for Pinterest including websites, merchants, and social media accounts
  • Help build scalable systems to acquire that content and extract structured attributes from it.
  • Partner closely with cross-functional teams across Pinterest to improve content quality and power better user experiences, such as reducing low-quality content and improving search relevance.
  • Train, fine-tune, and distill language models to better understand webpages and deploy those models in production at scale.
  • Design and build systems for managing large-scale datasets, improving data quality, and automating model iteration and improvement.
  • Use modern agentic coding tools to accelerate development, experimentation, and operational efficiency.

What we're looking for:

  • 5+ years of industry experience applying machine learning to real-world problems, such as search, ranking, recommender systems, natural language processing, personalization, reinforcement learning, or graph representation learning.
  • Hands-on experience training, evaluating, and deploying language models in production environments.
  • Strong problem-solving skills, with the ability to work autonomously, think creatively, and drive ambiguous projects forward.
  • Experience or strong interest in web crawling, web scraping, and large-scale content acquisition.

Nice to have:

  • M.S. or Ph.D. in Machine Learning, Computer Science, or a related technical field.
  • Publications in top-tier machine learning conferences.
  • Passion for applied machine learning and for building products that improve the Pinterest experience.
  • Experience with web crawling, web scraping, search, recommendation systems, or content understanding pipelines.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Relocation Statement:

  •  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

#LI-REMOTE
#LI-AK7

Apply