Machine Learning Engineering Leader

Há 14 horas

Belo Horizonte, Minas Gerais, Brasil beBeeLeadership Tempo inteiro R$180.000 - R$250.000
About the Role

This is a challenging and rewarding opportunity to lead a team of Machine Learning Engineers in building innovative personalization systems. As a seasoned leader, you will be responsible for architecting complex systems, mentoring engineers, and driving technical excellence.

Key Responsibilities
  • Lead a team of 3-5 ML engineers in building next-generation personalization systems
  • Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
  • Define technical roadmap aligned with business objectives
  • Drive improvements in model quality, system reliability, and development velocity
  • Establish best practices for model development and deployment
  • Partner with product, data science, and engineering teams
  • Contribute hands-on to critical model development (50% coding)
Requirements
  • 7+ years in ML engineering, 2+ years leading technical teams
  • Deep expertise in large-scale personalization systems
  • Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
  • Strong system design skills for ML 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
Bonus Points
  • Experience in adtech, e-commerce, or content platforms
  • Published papers or significant ML contributions
  • Experience with multi-objective optimization
  • Knowledge of reinforcement learning for personalization
We're an Equal Opportunity Employer

We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, protected veteran status, disability, or other legally protected characteristics.

We offer a competitive compensation package, opportunities for growth and development, and a collaborative work environment.

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