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 be part of a diverse and multi-disciplined
development team and help 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 system, 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 Natural Language Processing (NLP)
- 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 fun and informal startup work environment
- 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 and/or Spanish courses twice a week
- monthly random Fridays with the team which we fully dedicate to exploring new technologies and ideas with the team