Machine Learning Engineer

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.¿Tiene las siguientes habilidades, experiencia e impulso para tener éxito en este puesto? Descúbralo a continuación.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.Are you ready to be part of the new unicorn? Keep readingWhat will you do: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.You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay.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.What you need to have: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.Problem solving oriented mentality and a very proactive approach.Self‑motivated with the ability to work independently and sense of accountability.Detail‑oriented, well organized, and able to multi‑task in a results‑oriented business environment.Excellent communication skills both verbal and written.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 transformer architectures and LLMs.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.Reward package:Integrate a highly motivated and young team.Great compensation package.Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, Barbeque, and a fully stocked fridge.Great work‑life balance: 2 days working from home, flexible hours.LinkedIn Learning and training opportunities.Meal vouchers – Tickets Restaurant monthly allowance.Monthly gym allowance to use in up to 30 DIR gyms around the city.Monthly TGIF events.Regular team‑building events.Fun and friendly work environment with talented marketers and engineers from over 21 countries. xsgfvud And more#J-18808-Ljbffr