AI Lead Personalization Systems Engineer

Há 2 dias

Curitiba, Paraná, Brasil beBeeEngineering Tempo inteiro R$174.480 - R$221.800
Imagine yourself at the forefront of innovation, leading a team of talented Machine Learning Engineers to develop cutting-edge personalization systems. This exciting opportunity allows you to showcase your technical expertise and leadership skills, driving business impact and pushing the boundaries of what is possible in the field of ML engineering.
Job Description

This role requires a seasoned professional with 7+ years of experience in Machine Learning engineering, including at least 2 years of leadership experience. You will be responsible for architecting complex systems, mentoring engineers, and collaborating with cross-functional teams to drive technical decisions and deliver high-quality results.


Responsibilities
  • Lead a team of 3-5 ML engineers building 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 of experience in ML engineering, 2+ years of leadership experience
  • 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

Nice to Have
  • 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

Benefits

As a member of our team, you can expect a dynamic and inclusive work environment that values diversity, equity, and inclusion. We are committed to providing opportunities for growth and development, as well as a competitive compensation package.


About Us

We are a global leader in digital media, dedicated to connecting consumers with leading brands through data-driven content and technology. Our mission is to drive measurable impact and accelerate careers through innovation and collaboration.

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