Smadex SLU

Machine Learning Engineer

Smadex S.L.U - Barcelona, Barcelona, Spain - Full Time

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.

Are you ready to be part of the new unicorn? Keep reading!

What will you do:

  • Maximize our advertisers return on ad spend: Contribute to selecting the best ad and computing the optimal bid for each of the 4 million ad opportunities per second our platform processes.
  • Modelling: Solve the challenges of the Real Time Bidding environment such as predicting the user response to an ad, the auction’s closing price and much more! 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. You own the logic and the implementation. You build it, you run it.
  • 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.
  • Contribute with ideas and influence our decisions: Great execution is very valuable but we are also looking for great ideas to add to our product roadmap.

What you need to have:

  • A proactive, autonomous, and results-oriented approach to problem-solving.
  • Analytical mind with high attention to detail and the ability to manage multiple priorities.
  • 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.
  • Familiarity with Git.
  • Excellent communication skills both verbal and written in English.

Extra points for :-)

  • Master’s degree in Machine Learning, AI, Statistics, Mathematics or Computer Science.
  • Experience building high-performance algorithms in production environments.
  • Competence with Apache Spark as well as Java or Scala programming languages.
  • Familiarity with transformer architectures and LLMs.
  • Experience in digital marketing platforms and user acquisition.
  • Understanding of AWS services such as SageMaker, EMR, EC2, Athena and S3.

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.
  • Work from home: 2 days/week
  • Private Health Insurance
  • Access to LinkedIn Learning
  • Meal vouchers - Tickets Restaurant monthly allowance.
  • Monthly gym allowance: Choose between DiR Gym and Wellhub
  • Monthly TGIF events.
  • Regular team-building events.
  • Fun and friendly work environment with talented marketers and engineers from over 40+ countries
  • And more!
Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.
Apply: Machine Learning Engineer
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