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 revenues over +$100M and consistently growing +40% YoY over the past years.Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.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, JavaKnowledge of Bitbucket/Git version toolsExperience in machine learning and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis & auto‑regressive modelsKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)Experience working with SQL and data warehousingProblem‑solving oriented mentality and a very proactive approachSelf‑motivated with the ability to work independently and sense of accountabilityDetail‑oriented, well organized, and able to multi‑task in a results‑oriented business environmentExcellent communication skills both verbal and writtenFluency in English.Extra points for :-)Master’s degree in Machine Learning, AI, Statistics, Applied mathematics, Computer ScienceProficiency in building high‑performance algorithms in productionExperience with transformer architectures and LLMs. xsgfvud Experience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or othersExperience in digital marketing platforms and user acquisitionExperience with and Apache Spark and Nodejs programming languageFamiliarity with AWS services such as EMR, EC2, Athena, S3, RedshiftUsed to Linux environmentsReward package:Integrate a highly motivated and young teamGreat compensation packageTop location at the heart of Barcelona in a penthouse office with a rooftop terrace, Barbeque, and a fully stocked fridgeGreat work‑life balance: 2 days working from home, flexible hoursLinkedIn Learning and training opportunitiesMeal vouchers - Tickets Restaurant monthly allowanceMonthly gym allowance to use in up to 30 DIR gyms around the cityMonthly TGIF eventsRegular team‑building eventsFun and friendly work environment with talented marketers and engineers from over 21 countriesAnd more#J-18808-Ljbffr