Machine Learning / Deep Learning Engineer

Smadex

Barcelona

Hybrid

EUR 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Private Health Insurance
Meal vouchers
Gym allowance
Learning access LinkedIn Learning
Remote work 2 days/week
Team events

Job summary

Smadex, a leading ad-tech company based in Barcelona, seeks an ML Engineer to join our team. You will contribute to architectural decisions and build scalable ML models, with a focus on deep learning and real-world data analytics.

You will work across data science and engineering to deploy end-to-end solutions, tackle advanced modeling challenges, and deliver insights to stakeholders. A Master’s degree and strong ML background are preferred.

Qualifications

  • Proficiency in Python/Scala/Java for ML/DS tasks.
  • Strong understanding of ML/DL algorithms and modeling techniques.
  • Experience with data warehousing and SQL.
  • Ability to work in a cross-functional, fast-paced environment.

Responsibilities

  • Contribute to architectural decisions and develop ML models, especially deep learning models.
  • Design, implement, and evaluate predictive models and analytics solutions.
  • Combine ML science with data engineering to deploy end-to-end scalable pipelines.
  • Analyze data from multiple sources to provide actionable insights for business and engineering teams.
  • Tackle modeling challenges like sparse positives and labeling delays.

Skills

Python
Scala/Java
SQL
Machine Learning
Deep Learning
Statistics
Data Warehousing
Big Data
Communication
English

Education

Master’s degree in ML/AI/Statistics/Applied Math/CS

Tools

Git
Bitbucket
Jupyter
Spark
AWS
Linux

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.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 reading!

What 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.
  • 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 WellhubMonthly TGIF events.
  • Monthly TGIF events.
  • Regular team-building events.
  • Fun and friendly work environment with talented marketers and engineers from over 40+ countriesAnd more!
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