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Full Time Meta Machine Learning Jobs in Toronto, ON

Motion Recruitment

Senior Data Scientist

Toronto, ON

Located in Waterloo, this full-time Senior Data Scientist opportunity is with an innovative technology organization focused on advanced analytics and machine learning. The team is leveraging Python ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Strong grasp of machine learning literature, including current trends and state-of-the-art ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

Waabi

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

Owl.co

Principal Software Engineer

Toronto, ON · On-site

CA$220K - CA$300K/yr

Deep, hands-on experience designing, deploying, and scaling AI/Machine Learning systems or LLM ... Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class ...

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Full Time Meta Machine Learning information

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

AspectFull Time Meta Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech company, collaborative teams, focus on ML modelsVaried industries, research or business focus, data analysis
Industry UsagePrimarily in tech giants like Meta, Google, focus on AI/ML productsAcross industries including tech, finance, healthcare, often in analytics roles

Full Time Meta Machine Learning roles focus on developing and deploying machine learning models within Meta's ecosystem, requiring specialized ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles involve data and algorithms, Meta Machine Learning positions are more specialized in AI/ML model development, whereas Data Scientists focus on data analysis and interpretation across various industries.

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

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

What job categories do people searching Full Time Meta Machine Learning jobs in Toronto, ON look for?

The top searched job categories for Full Time Meta Machine Learning jobs in Toronto, ON are:

Full Time Meta Machine Learning jobs near you
Infographic showing various Full Time Meta Machine Learning job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Machine Learning Engineer

Toronto, ON • On-site

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 days ago

Job description

We are building out an AI team in Toronto and are hiring Senior Machine Learning Engineers. This is a build-from-scratch effort on a modern stack, focused on putting AI into production rather than keeping it in the lab. You will work hands-on with LLMs, agentic and multi-agent systems, retrieval-based architectures, and current MLOps practices on a major cloud platform.
This is an early-stage seat on a team that is just forming, so there is real room to influence how things get built and to set technical direction rather than inherit it. They want a hands-on senior engineer who prefers to stay technical rather than move into people management, someone who has shipped ML/AI systems that real users depend on and enjoys working through open-ended problems. You get the independence to make real technical calls, the right resources behind you, strong visibility and a clear path toward Lead or Principal level.
Required Skills & Experience
  • 7+ years building production ML/AI systems
  • Strong hands-on Python and modern ML frameworks (PyTorch)
  • Hands-on generative AI experience: LLMs, retrieval-based architectures, agentic workflows
  • Track record of taking ML systems from prototype to production at scale
  • Production ML engineering: MLOps, containerization (Docker, Kubernetes), cloud (AWS or Azure), workflow orchestration (Airflow), API development (FastAPI)
  • Solid software fundamentals: automated testing, version control, scalable architecture
  • Comfort leading through technical influence and mentorship rather than direct management
  • Bachelor's in CS, Machine Learning, Data Science, Applied Math, or related field
Desired Skills & Experience
  • Master's or PhD
  • Multi-agent or agentic systems built beyond basic LLM integrations
  • Advanced MLOps and cloud-native ML infrastructure at scale
  • Experience with unstructured data
  • Open source contributions, talks, or published work
  • Early-stage or 0-to-1 team experience
What You Will Be Doing
Tech Breakdown
  • 40% Generative AI and Agentic Systems (LLMs, retrieval, multi-agent)
  • 30% Production ML Engineering and MLOps
  • 30% Architecture and System Design
Daily Responsibilities
  • 80% Hands On
  • 20% Team Collaboration

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time

Current Vacancy: Yes
Use of AI in Hiring: No
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.

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