ML Strategist and Innovator

Há 6 dias


Brasil beBeePersonalization Tempo inteiro R$150.000 - R$180.000
Principal ML Engineer

We are seeking a highly skilled Principal Machine Learning Engineer to establish the technical vision for personalization and drive strategy, architecture, and innovation across teams.

Key Responsibilities:
  • 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.
  • 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 our technical brand externally through speaking engagements, open source contributions, or publications.
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems.
Requirements:
  • 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization.
  • Expertise in building ML systems with deep learning, causal inference, multi-armed bandits, and graph-based models.
  • 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.

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