Senior Machine Learning Engineer

Há 20 horas

Curitiba, Paraná, Brasil beBeeMachineLearningLeader Tempo inteiro R$1.200.000 - R$2.000.000
Job Overview

As a seasoned leader in machine learning engineering, you will spearhead a team of talented engineers building cutting-edge personalization and optimization systems. Your expertise will be crucial in striking a balance between hands-on technical work and team leadership, as you architect complex systems, mentor colleagues, and collaborate across organizations to drive business impact.

Key Responsibilities
  • Lead a team of 3-5 machine learning engineers designing innovative personalization systems.
  • Design and implement multi-stage ranking systems for effective retrieval, ranking, and re-ranking.
  • Develop the technical roadmap aligned with business objectives.
  • Drive improvements in model quality, system reliability, and development velocity.
  • Establish best practices for model development and deployment.
  • Collaborate closely with product, data science, and engineering teams.
  • Contribute significantly to critical model development (50% coding).
Essential Qualifications
  • 7+ years of experience in machine learning engineering, 2+ years leading technical teams.
  • Deep expertise in large-scale personalization systems.
  • Experience with modern machine learning architectures (two-tower, transformer-based, graph neural networks).
  • Strong system design skills for machine learning infrastructure.
  • Proven ability to mentor engineers and drive technical decisions.
  • Experience managing stakeholder relationships and project delivery.
  • BS/MS in Computer Science or equivalent experience.
Nice to Have
  • Experience in adtech, e-commerce, or content platforms.
  • Published papers or significant machine learning contributions.
  • Experience with multi-objective optimization.
  • Knowledge of reinforcement learning for personalization.
Work Environment
  • Seniority level: Mid-Senior level.
  • Employment type: Full-time.
  • Job function: Engineering and Information Technology.
  • Industries: Advertising Services.
Diversity and Inclusion

We are committed to fostering a diverse, inclusive team and culture. We value diversity, equity, and inclusion.

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