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1,704

Machine Learning jobs in Canada

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Toronto
Hybrid
CAD 164,000 - 220,000
30+ days ago
I want to receive the latest job alerts for “Machine Learning” jobs

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Halifax
Hybrid
CAD 206,000 - 275,000
30+ days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Ottawa
Hybrid
CAD 130,000 - 160,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

New Brunswick
Hybrid
CAD 100,000 - 130,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Mississauga
Hybrid
CAD 100,000 - 150,000
30+ days ago
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Lead Machine Learning Engineer, Ad Performance

Launch Potato

Halifax
Hybrid
CAD 100,000 - 130,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Quebec
Hybrid
CAD 100,000 - 145,000
30+ days ago

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Montreal
Hybrid
CAD 100,000 - 130,000
30+ days ago
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Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Montreal
Hybrid
CAD 100,000 - 130,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Ottawa
Hybrid
CAD 100,000 - 140,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Halifax
Hybrid
CAD 100,000 - 130,000
30+ days ago

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Ottawa
Hybrid
CAD 100,000 - 140,000
30+ days ago

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Quebec
Hybrid
CAD 120,000 - 160,000
30+ days ago

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Vancouver
Hybrid
CAD 90,000 - 120,000
30+ days ago

Machine Learning Engineer II

ACV Auctions

Toronto
On-site
CAD 91,000 - 114,000
30+ days ago

Software Engineer, Machine Learning Infrastructure

Stripe

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Machine Learning Engineer II, Fraud

Instacart

Canada
Remote
CAD 153,000 - 170,000
30+ days ago

Senior Machine Learning Engineer

Aviva

Markham
Hybrid
CAD 90,000 - 120,000
30+ days ago

PhD student: Applying Machine Learning to Building Systems

International Society for Industrial Ecology

Vancouver
On-site
CAD 30,000
30+ days ago

Senior Staff Machine Learning Engineer - Risk AI/ML

Omaze

Canada
On-site
CAD 261,000
30+ days ago

Machine Learning Engineer, Risk AI/ML

Omaze

Canada
On-site
CAD 154,000
30 days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Toronto
Hybrid
CAD 130,000 - 160,000
30+ days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Mississauga
Hybrid
CAD 120,000 - 160,000
30+ days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Mississauga
Hybrid
CAD 120,000 - 160,000
30+ days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Montreal
Hybrid
CAD 120,000 - 160,000
30+ days ago

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Principal Machine Learning Engineer, Recommendation Systems
Launch Potato
Toronto
Hybrid
CAD 164,000 - 220,000
Full time
30+ days ago

Job summary

A technology-driven company seeks a Principal Machine Learning Engineer to establish a technical vision for personalization. The ideal candidate has over 10 years of experience in designing, developing, and deploying large-scale machine learning systems focused on personalization. This role includes defining company-wide strategies and solving complex technical challenges. A commitment to innovation and collaboration is essential.

Qualifications

  • Expertise in building ML systems and deep expertise in large-scale personalization.
  • Recognized industry expertise through patents, publications, or significant product impact.
  • Proven success architecting ML platforms serving billions of predictions in production.

Responsibilities

  • Establish technical vision for personalization, solving complex ML challenges.
  • Define company-wide personalization strategy and architecture.
  • Lead multi-quarter, cross-functional initiatives that redefine personalization impact.

Skills

Building ML systems with large-scale personalization
Architecting ML platforms
Deep learning
Causal inference
Graph-based models

Education

10+ years of related experience
Job description
Principal Machine Learning Engineer, Recommendation Systems

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE:

  • Expertise building ML systems with deep expertise in large-scale personalization
  • Recognized industry expertise through patents, publications, or significant product impact
  • Proven success architecting ML platforms serving billions of predictions in production
  • Demonstrated track record of 0→1 innovation in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models

EXPERIENCE: 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization

YOUR ROLEEstablish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.

OUTCOMES

  • Define company-wide personalization strategy and architecture, driving alignment across all ML teams
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
  • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
  • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
  • Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
  • Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems

COMPETENCIES

  • Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
  • Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
  • Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
  • Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
  • Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
  • External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
  • Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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