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Full Time Senior Machine Learning Engineer Jobs in Toronto, ON

EvenUp

Staff Machine Learning Engineer

Toronto, ON · Remote

$212K - $301K/yr

... senior engineers, and driving decisions that shape both product outcomes and company growth. What ... Hubs in San Francisco and Toronto. (Please note the above benefits & perks are for full-time ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ... in full time software development roles * Experience shipping LLM integrations to user products ...

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 ...

Equinix

Machine Learning Engineer

Toronto, ON · Remote

Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ... full-time position determined by role, level, and location. The pay range shown is based on our ...

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 ...

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 ...

Adobe

Machine Learning Engineer

Toronto, ON · On-site

We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...

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Full Time Senior Machine Learning Engineer information

What is the difference between Full Time Senior Machine Learning Engineer vs Data Scientist?

AspectFull Time Senior Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, creates reports for business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, healthcare, research

Full Time Senior Machine Learning Engineers focus on designing, building, and deploying scalable ML models, often working closely with engineering teams. Data Scientists analyze data, develop models for insights, and support decision-making. While both roles require strong analytical skills and knowledge of ML, engineers emphasize deployment and system integration, whereas data scientists focus on data analysis and modeling for insights.

What is a full time senior machine learning engineer?

Full Time Senior Machine Learning Engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They often lead teams, set technical direction, and collaborate with data scientists, engineers, and stakeholders to solve complex problems using data-driven approaches. Their responsibilities include selecting appropriate algorithms, optimizing model performance, and ensuring that machine learning solutions are scalable and maintainable in production environments. Senior engineers typically have several years of experience and a strong background in programming, statistics, and machine learning theory.

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

To thrive as a Full Time Senior Machine Learning Engineer, you need expertise in machine learning algorithms, statistical analysis, programming (commonly Python or R), and a relevant degree such as computer science or engineering. Experience with tools like TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and often advanced certifications in ML or data science are highly valued. Strong problem-solving, leadership, and communication skills set top candidates apart by enabling them to lead projects and collaborate effectively across teams. These skills are crucial for designing scalable ML solutions, mentoring peers, and delivering impactful business outcomes.

What types of projects and cross-functional collaboration can a full time senior machine learning engineer expect in their role?

As a Full Time Senior Machine Learning Engineer, you’ll typically work on complex projects that involve designing, deploying, and optimizing machine learning models for real-world applications. You can expect to collaborate closely with data scientists, software engineers, product managers, and domain experts to define project requirements, integrate models into production systems, and iterate based on feedback. This collaborative environment not only fosters innovation but also provides opportunities to mentor junior engineers and contribute to strategic decisions, making the role both technically challenging and highly impactful within the organization.
What are popular job titles related to Full Time Senior Machine Learning Engineer jobs in Toronto, ON? For Full Time Senior Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Full Time Senior Machine Learning Engineer jobs in Toronto, ON look for? The top searched job categories for Full Time Senior Machine Learning Engineer jobs in Toronto, ON are:
Full Time Senior Machine Learning Engineer jobs near you
Infographic showing various Full Time Senior Machine Learning Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

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.

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