Chief Personalization Architect

1 dia atrás

Rio de Janeiro, Rio de Janeiro, Brasil beBeePersonalization Tempo inteiro US$125.000 - US$175.000
Unlock Personalization Excellence

The role requires an exceptional Principal Machine Learning Engineer to establish the technical vision for personalization at our organization. This individual will solve complex ML challenges, influence strategy, architecture, and innovation across teams.

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  • Develop and deploy large-scale machine learning systems with a focus on personalization, driving significant business impact.
  • Possess recognized industry expertise through patents, publications, or significant product impact, ensuring a strong foundation for innovative solutions.
  • Have a proven track record of 0→1 innovation in personalization or recommender systems, allowing for groundbreaking advancements.
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models is essential for effective problem-solving.
  • Establish company-wide personalization strategy and architecture, fostering alignment across all ML teams.
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs, ensuring seamless system operation.
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms).
  • Act as 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 Benefits:

  • Visionary Thinking: Develop and drive the future state of ML infrastructure and personalization strategy.
  • Architectural Excellence: Design scalable, modular systems that support billions of predictions and enable rapid experimentation.
  • Technical Influence: Drive decision-making and build consensus across teams and stakeholders without direct authority.
  • Expert-Level Execution: Navigate deep technical complexity while maintaining execution velocity.
  • Mentorship & Leadership: Coach senior engineers, facilitate technical reviews, and raise the technical bar for the entire organization.
  • External Thought Leadership: Represent our organization in the ML community and contribute to growing its reputation as a leader in ML innovation.
  • Curious & Forward-Looking: Continuously explore new approaches to personalization and actively prototype cutting-edge methodologies.

 

 

Benefits Include:
  • Diverse, inclusive culture committed to having a high-performing team.
  • Equal Employment Opportunity employer valuing diversity, equity, and inclusion.
  • Opportunities for professional growth and career acceleration.

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