Chief Architect of Scalable Ad Infrastructure

1 semana atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeMachine Tempo inteiro R$194.500 - R$212.000
Overview

We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in designing and deploying complex ML systems that drive revenue and user engagement at scale.

In this role, you will work on building scalable infrastructure to support real-time ad decisioning across millions of requests per day. You will also develop and scale advertising algorithms that optimize engagement and revenue simultaneously.

The successful candidate will have 7+ years of software development and ML engineering experience, including 3+ years focused on advertising systems. They will also have expertise in one or more ML areas such as Recommendation Systems, Advertising Algorithms, NLP, or CV.

You will collaborate with global teams across product, data, and engineering to launch high-impact ad features and stay ahead of emerging technologies to integrate them into our ML stack when they create competitive advantage.

We offer a dynamic and inclusive work environment where you can accelerate your career by owning outcomes, moving fast, and driving impact. If you are passionate about bridging technical expertise and business acumen, we encourage you to apply for this exciting opportunity.

Required Skills and Qualifications
  • 7+ years of software development and ML engineering experience
  • 3+ years focused on advertising systems
  • Expertise in one or more ML areas (Recommendation Systems, Advertising Algorithms, NLP, or CV)
  • Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
  • Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
Benefits
  • Dynamic and inclusive work environment
  • Opportunity to accelerate your career
  • Collaborative global teams
  • Staying ahead of emerging technologies
Competencies
  • Impact-Oriented: Align ML systems to business outcomes and measure what matters
  • Technical Builder: Write clean, production-ready code and architect scalable systems
  • Collaborative: Work seamlessly with global teams and communicate complex ideas clearly
  • Resilient & Determined: Drive projects through to impact
  • Curious Innovator: Keep pace with ML/AI trends and creatively apply them to advertising
  • Analytical Problem-Solver: Break down complex systems and find data-driven solutions

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