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Machine Learning Senior Engineer (Recommendations)

Role overview

Qualifications

  • 5+ years of relevant experience in Data science / Machine Learning positions
  • Proficiency in Python, SQL, Statistics
  • Hands-on experience developing solutions in Adtech, Recommender Systems, or Marketplaces
  • Knowledge of recent advances in recommendation systems

Responsibilities

  • Development, maintenance, and optimization of the core creative selection recommendation engine
  • Coordination with the creative team to define their needs and translate them into robust technical solutions
  • Work within a high-frequency, complex auction ecosystem to ensure scalable and performant ML solutions

About the company

Smadex SLU logo

Smadex SLU

Marketing & Advertising

Smadex is the transparent DSP engineered for growth. The number one solution for user acquisition, retargeting and branding campaigns. We address the challenges and concerns of marketers by providing a fully transparent platform built on strong technology, countless programmatic management features and powerful machine learning algorithms that focus on achieving real outcomes. Advertisers can access global consumers on the highest quality brand safe and viewable inventory at scale, and capture attention using strong and engaging ad formats to drive performance sales and brand metrics. Smadex partners with the leading third party platforms to provide the most innovative solutions and independent measurement. Our open platform can easily plug and play with any new external partners. Smadex is a technology company led by engineering and data science, working with agencies and direct clients across the globe.Smadex is a business unit of Entravision Communications (NYSE: EVC)

Company details

IndustryMarketing & Advertising
Company size501 - 1000

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Job description

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.

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!

Role overview

You will be a Senior Machine Learning Engineer dedicated to the hands-on development and optimization of our creative selection recommendation engine. This is a critical role that operates within our high-frequency, complex auction ecosystem and requires a strong blend of engineering, analytical, and cross-functional communication skills

Responsibilities

  • Development, maintenance, and optimization of the core creative selection recommendation engine
  • Coordination with creative team to define their needs and translate them into robust technical solutions

What you need to have:

  • 5+ years of relevant experience in Data science / Machine Learning positions
  • Background in Mathematics, Physics, Computer Science or Data Science.
  • Proficiency in Python, SQL, Statistics
  • Hands-on experience developing solutions in related fields such as Adtech, Recommender Systems, or Marketplaces
  • Knowledge of recent advances in recommendation systems
  • Possesses excellent communication skills both verbal and written
  • Fluency in English

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!

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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