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1.722

Machine Learning ofertas em Canadá

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Vancouver
Híbrido
CAD 130 000 - 160 000
Há 30+ dias
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Lead Machine Learning Engineer, Recommendation Systems

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Lead Machine Learning Engineer, Recommendation Systems

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Senior Machine Learning Engineer AI/RL

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Huawei Technologies Canada Co., Ltd.

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Principal Machine Learning Engineer, Recommendation Systems

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Principal Machine Learning Engineer, Recommendation Systems

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Principal Machine Learning Engineer, Ad Performance
Launch Potato
Vancouver
Híbrido
CAD 130.000 - 160.000
Tempo integral
Há 30+ dias

Resumo da oferta

A dynamic technology company in Vancouver is seeking a Principal Machine Learning Engineer to lead their personalization strategy. The ideal candidate will have over 10 years of experience in building large-scale ML systems and demonstrate a proven track record in innovation and architectural excellence. This role involves solving complex ML challenges and mentoring senior engineers, all while driving significant business impact through data-driven solutions.

Qualificações

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

Responsabilidades

  • Establish the technical vision for personalization at the company.
  • Define company-wide personalization strategy and architecture.
  • Solve critical technical challenges in ML.
  • Design and implement advanced ML solutions.

Conhecimentos

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
Descrição da oferta de emprego
Principal Machine Learning Engineer, Ad Performance

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.

Overview

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.
Diversity & Inclusion

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.

Application

Want to accelerate your career? Apply now!

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* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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