Machine Learning Senior Engineer (Recommendations)

Smadex SLU
Laza, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Laza, Spain

Tech stack

Data analysis
Python
Machine Learning
Recommender Systems
SQL Databases
Information Technology

Job description

Smadexis a leading advertising technology company founded in Barcelona in **** and sold to American-based and stock-listed Entravision in **** (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 toimprove our ad-tech platformto 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 overviewYou will be aSenior Machine Learning Engineerdedicated 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 skillsResponsibilitiesDevelopment, maintenance, and optimization of the core creative selection recommendation engineCoordination with creative team to define their needs and translate them into robust technical solutionsWhat you need to have:5+ years of relevant experience in Data science / Machine Learning positionsBackground inMathematics, Physics, Computer Science or Data Science.Proficiency inPython, SQL, StatisticsHands-on experience developing solutions in related fields such as Adtech, Recommender Systems, or MarketplacesKnowledge of recent advances in recommendation systemsPossesses excellent communication skills both verbal and writtenFluency in EnglishReward 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/weekPrivate Health InsuranceAccess to LinkedIn LearningMeal vouchers - Tickets Restaurant monthly allowance.Monthly gym allowance: Choose between DiR Gym and WellhubMonthly TGIF events.Regular team-building events.Fun and friendly work environment with talented marketers and engineers from over 40+ countriesAnd more!

Requirements

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

Benefits & conditions

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!

About the company

Laza, Orense, España Smadex is a leading advertising technology company founded in Barcelona in **** and sold to American-based and stock-listed Entravision in **** (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

Apply for this position