Senior Personalization Architect

1 semana atrás

São Paulo, São Paulo, Brasil beBeeMachineLearningEngineer Tempo inteiro US$150.000 - US$200.000

Our organization is looking for a highly skilled Principal Machine Learning Engineer to lead our personalization efforts.

About the Role:
  • We need someone with expertise in building ML systems, especially those that use deep knowledge of large-scale personalization.
Requirements:
  • Expertise in building ML systems with a strong focus on large-scale personalization
  • A proven track record of recognized industry expertise through patents, publications, or significant product impact
  • Success in architecting ML platforms that serve billions of predictions in production
  • Demonstrated ability to innovate and pioneer new approaches in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models
Your Responsibilities:
  • You will establish the technical vision for personalization at our organization, solving complex ML challenges and influencing strategy, architecture, and innovation across teams
Expected Outcomes:
  • You will 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 a technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
  • Represent our organization's technical brand externally through speaking engagements, open source contributions, or publications
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
Key Competencies:
  • Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy
  • Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation
  • Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority
  • Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity
  • Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization
  • External Thought Leadership: Represents our organization in the ML community and contributes to growing its reputation as a leader in ML innovation
  • Curious & Forward-Looking: Continuously explores new approaches to personalization and actively prototypes cutting-edge methodologies

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