Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years.
We compete in a highly advanced technology-driven industry, real time bidding programmatic advertising, where Machine Learning and cutting-edge cloud-based big data architectures are the biggest factor in achieving the company’s growth.
Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.
Address machine learning hurdles that may not be covered in the scientific literature, like extreme positive sample sparsity and labeling delay.




Execute the project end-to-end: Research the state of the art, design, develop and deploy full-stack ML solutions at web scale. Analyze the data and evaluate your improvements: Deep-dive into model evaluation and AB tests’s statistical significance to ensure our growth is built rigorously on signal, not noise.
Strong foundation in statistical concepts and techniques: regression, properties of distributions, statistical significance tests, etc.
Experience in machine learning and predictive modelling: neural networks, logistic regressions, gradient boosted trees and time series analysis.
Good programming skills and familiarity with python and its libraries (pytorch, pandas, numpy, etc.).
Competence in data analysis with SQL and pandas.
Excellent communication skills both verbal and written in English.
Extra points for :-)
Master’s degree in Machine Learning, AI, Statistics, Mathematics or Computer Science.
Exper

📌 Machine Learning Engineer (España)
🏢 Smadex Slu
📍 España