Machine Learning Researcher

External

Rtbhouse · Warsaw, Poland

Full-timeOn-site2w ago

Deep LearningJavaMachine LearningNumPyPandasPython

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Benefits

Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skillsExtremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can; you can cooperate fully remotelyAccess 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 setsThe effects of your cooperate immediately visible in the company's business resultsPossibility to publish your resultsCooperation based on B2B contract or Contract of MandateYou can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.Apply now!You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.Remote work optionsFlexible schedule

Additional Information

Location : Poland We Are: 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. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. You Will: 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 Desired Experience: 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 Selected technologies used: Python, Java, Scala PyTorch, NumPy, Pandas Jupyter Notebooks Additional advantages will be: Experience in the ML industry Experience in designing recommendation systems Practical knowledge of the tools we use Sample topics: Implementation and analysis of new model architectures, such as convolutional networks, transformer Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment Experiments with the use of transfer learning A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function

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