Smadex is a leading advertising technology company founded in Barcelona in 2011 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 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.
You will be part of all the major architectural decisions and developments we make on our algorithms, especially in our state-of-the-art deep learning models.
You will be responsible for proposing and developing new models, measuring the performance and improving our algorithms.
Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies
You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team




Analyse data from different sources and provide actionable insights to business and engineering stakeholders
Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.
Very strong coding ability in at least one of the following: Python, Scala, Java
Knowledge of Bitbucket/Git version tools
Experience in machine learning and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis & auto-regressive models
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
Experience working with SQL and data warehousing
Fluency in English.
Extra points for :-)Master’s degree in Machine Learning, AI, Statistics, Applied mathematics, Computer Science
Proficiency in building high-performance algorithms in production
Experience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or others
Experience in digital marketing platforms and user acquisition
Experience with and Apache Spark and Nodejs programming language
Familiarity with AWS services such as EMR, EC2, Athena, S3, Redshift
Used to Linux environments
Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge.
Work from home: 2 days/week
Private Health Insurance

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