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Leading machine learning engineer - recommendation systems

Tixtla de Guerrero, Gro
beBeePersonalizer
Publicada el 11 septiembre
Descripción

Job opportunity

we are seeking a senior professional to lead the development of our recommendation systems, utilizing expertise in building large-scale machine learning models with a focus on personalization.

the ideal candidate will have a proven track record of innovation in recommender systems and mastery across multiple ml domains including deep learning, causal inference, multi-armed bandits, and graph-based models.


key responsibilities

* develop the technical vision for personalization at our company
* solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
* design and implement advanced ml solutions using cutting-edge techniques
* create and enforce ml architecture patterns, design standards, and reusable infrastructure across teams


requirements

* 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization
* mastery across multiple ml domains including deep learning, causal inference, multi-armed bandits, and graph-based models


about us

our company is a profitable digital media organization that reaches over 30m+ monthly visitors through various brands. We're committed to having a diverse, inclusive team and culture.


what we offer

* a high-growth, high-performance environment where speed, ownership, and measurable impact drive success
* a global team of high-performers who own outcomes, move fast, and drive impact

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