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RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher, you will be responsible for its development.
Job Responsibility:
Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
Analysis of the latest works in the field of Machine Learning
Conducting and analyzing A/B tests of new solutions
Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions
Requirements:
4+ years of hands-on experience with Machine Learning / Data Science
Interest and willingness to constantly develop in the area of Machine Learning
Knowledge of statistics and probability
Proficiency in programming
Experience in the ML industry
Experience in designing recommendation systems
Practical knowledge of the tools we use
Nice to have:
Experience in the ML industry
Experience in designing recommendation systems
Practical knowledge of the tools we use
What we offer:
A very attractive salary
Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can
you can work fully remotely
Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project
Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
The effects of your work immediately visible in the company's business results
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