At seedtag our mission is to change how online
advertising is done. We are looking for talented engineers to help us
develop our technology and change the world of digital advertising
together. The seedtag platform allows some of the largest online
publishers to get the most out of their images. Our engineers face
massive scalability challenges to be able to process millions of
requests with very strict timing requirements. We apply machine learning
algorithms to the content of every page to achieve human-like content
understanding and provide the best possible ad contextualization in the
industry.
Founded by two ex-Googlers in 2014, today we proudly
count over 80 employees in 7 countries. We believe in high-quality and
non-intrusive advertising content.
At seedtag we are committed to maintaining a culture where everyone can thrive and find meaning in their work. We are a young product-based company and
we highly value cooperation. Our engineering team is composed of eager
self-starters who cultivate innovation and bring fresh ideas. You will
gain exposure to cutting edge technologies and helping us push our
technology forward.
Machine learning is at the core of everything we do at seedtag. One of our key projects is the automatic web classification system,
which is part of the core of our serving systems and allows us to
contextualize ads inside a taxonomy. As a member of the Data Science
team you will contribute to all the Machine Learning efforts of the
company.
Your responsibilities
- you will work on improving our natural language processing systems, expanding it’s comprehension capabilities
- you
will help us develop new sentiment analysis techniques on articles to
ensure that ads are always displayed in a positive context
- you will work on the optimization of our real-time price engine to maximize the profit for our publishers
About you
- you have at least 3 years of experience in data science or a similar role
- you have experience with NLP and/or computational linguistics
- you
have a degree in computer science, engineering, statistics,
mathematics, physics or another degree with a strong quantitative
component
- you understand the theoretical functioning of the main algorithms in ML and you have experience applying these to real problems
- you have ample experience with one or more of these machine learning tools: Scikit-learn, Tensorflow, Theano, etc.
- you are a proactive person who likes the startup work culture
What we offer you
- a competitive salary adjusted to your experience
- a Macbook Pro with an external screen
- a great work location in the heart of Madrid!
- real flexible working hours and the possibility to work from home when you want to
- participation in many offsite activities and have fun with your colleagues!
- the option to follow company-paid English courses twice a week
- monthly random Fridays which we fully dedicate to exploring new technologies and ideas with the team