26 oct
|
Talantir
|
Barcelona
26 oct
Talantir
Barcelona
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
📌 Machine Learning (Barcelona)
🏢 Talantir
📍 Barcelona