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827

Machine Learning Engineer jobs in Canada

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Nova Scotia
Remote
CAD 166,000 - 222,000
17 days ago
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Machine Learning Engineer

ODAIA

Canada
Remote
CAD 80,000 - 120,000
17 days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Quebec
Remote
CAD 179,000 - 236,000
19 days ago

Big Data Developer / Machine Learning Engineer

Triton Digital

Toronto
On-site
CAD 90,000 - 120,000
19 days ago

Co-op Engineer - Machine Learning

Huawei Technologies Canada Co., Ltd.

Waterloo
On-site
CAD 125,000 - 150,000
19 days ago
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Senior Machine Learning Engineer

Clio

Toronto
On-site
CAD 100,000 - 130,000
22 days ago

Senior Machine Learning Engineer - Core Automation

Omaze

Canada
Hybrid
CAD 265,000
22 days ago

Staff Machine Learning Engineer

Tubi Tv

Toronto
Hybrid
CAD 120,000 - 160,000
23 days ago
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Principal Machine Learning Engineer

Tubi Tv

Toronto
Hybrid
CAD 130,000 - 170,000
23 days ago

Machine Learning Engineer

KCM Technical

Windsor
On-site
CAD 125,000 - 150,000
24 days ago

Senior Machine Learning Engineer

Magnet Forensics

Toronto
On-site
CAD 100,000 - 130,000
24 days ago

Machine Learning Engineer

Sunia Technology Inc.

Burnaby
On-site
CAD 125,000 - 150,000
25 days ago

Machine Learning Engineer, Ads

Reddit, Inc.

Ontario
Hybrid
CAD 80,000 - 120,000
25 days ago

Machine Learning Engineer (Canada)

Tiger Analytics

Ottawa
On-site
CAD 80,000 - 100,000
26 days ago

Staff Machine Learning Engineer - Growth

DoorDash Canada

Canada
On-site
CAD 100,000 - 130,000
27 days ago

Lead Machine Learning Engineer

Launch Potato

Montreal
Hybrid
CAD 164,000 - 220,000
27 days ago

Lead Machine Learning Engineer

Launch Potato

Vancouver
Remote
CAD 164,000 - 207,000
27 days ago

Lead Machine Learning Engineer

Launch Potato

Toronto
Remote
CAD 164,000 - 193,000
27 days ago

Lead Machine Learning Engineer

Launch Potato

Victoria
Hybrid
CAD 137,000 - 193,000
27 days ago

Lead Machine Learning Engineer

Launch Potato

Goffs
Remote
CAD 109,000 - 138,000
27 days ago

Senior Machine Learning Engineer, Ads

Reddit, Inc.

Ontario
Hybrid
CAD 80,000 - 120,000
27 days ago

Machine Learning Engineer (Canada)

Two95 International Inc.

Longueuil
Remote
CAD 125,000 - 150,000
27 days ago

Senior Software Developer- Machine Learning & AI Systems

Descartes Systems Group

Southwestern Ontario
Remote
CAD 100,000 - 120,000
Today
Be an early applicant

Senior Machine Learning Developer - Commerce AI

Coveo

Montreal
On-site
CAD 90,000 - 130,000
Today
Be an early applicant

Senior Machine Learning Developer

Autodesk

Toronto
On-site
CAD 100,000 - 130,000
Today
Be an early applicant

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Principal Machine Learning Engineer, Recommendation Systems
Launch Potato
Nova Scotia
Remote
CAD 166,000 - 222,000
Full time
17 days ago

Job summary

A leading digital media company in Canada seeks an experienced professional to drive personalization strategy through advanced machine learning techniques. This role requires expertise in building ML systems, a proven track record in data-driven personalization, and innovative thought leadership. Join an inclusive team dedicated to leveraging cutting-edge technology and data to connect consumers with top brands.

Qualifications

  • 10+ years designing, developing, and deploying large-scale machine learning systems focused on personalization.
  • Recognized industry expertise through patents, publications, or significant product impact.

Responsibilities

  • Establish the technical vision for personalization and influence strategy across teams.
  • Define company-wide personalization strategy and architecture.

Skills

Expertise in large-scale personalization
Architecting ML platforms
0→1 innovation in personalization
Mastery of deep learning techniques
Job description
Overview

WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

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 Role

Establish 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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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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