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Lead ML Engineer, Remote Ad Performance & Revenue

Launch Potato

Monterrey

Híbrido

MXN 1,675,000 - 2,234,000

Jornada completa

Hace 13 días

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Descripción de la vacante

A data-driven company is seeking a Lead Machine Learning Engineer to enhance advertising performance. You will be responsible for building scalable ML systems that optimize revenue and user experience. Candidates should have over 7 years of experience in ML engineering, preferably in advertising systems. Strong expertise in Python, cloud infrastructure, and performance optimization is essential. This position offers a remote-first work environment.

Formación

  • 7+ years of software development and ML engineering, including 3+ years focused on advertising systems.
  • Proven experience optimizing ad performance using mature models and emerging ML technologies.
  • Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV.

Responsabilidades

  • Elevate advertising performance by building scalable, production-ready ML systems.
  • Collaborate across teams to design, deploy, and refine algorithms.
  • Develop and scale advertising algorithms that optimize engagement and revenue.

Conocimientos

Software development
Machine learning engineering
Ad performance optimization
Python
SQL
Modern ML frameworks
Distributed data processing
Cloud infrastructure
Analytical problem-solving
Communication

Herramientas

TensorFlow
PyTorch
Spark
Ray
AWS
GCP
Descripción del empleo
A data-driven company is seeking a Lead Machine Learning Engineer to enhance advertising performance. You will be responsible for building scalable ML systems that optimize revenue and user experience. Candidates should have over 7 years of experience in ML engineering, preferably in advertising systems. Strong expertise in Python, cloud infrastructure, and performance optimization is essential. This position offers a remote-first work environment.
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