Selected technologies used :
- Python, Java, Scala
- PyTorch, NumPy, Pandas
- Jupyter Notebooks
Additional advantages will be :
Experience in the ML industryExperience in designing recommendation systemsPractical knowledge of the tools we useSample topics :
Implementation and analysis of new model architectures, such as convolutional networks, transformerAnalyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deploymentExperiments with the use of transfer learningA completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss functionWe Offer :
A very attractive salaryWork in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skillsExtremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can; you can work 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 work immediately visible in the company's business resultsPossibility to publish your results4+ years of hands-on experience with Machine Learning / Data ScienceInterest and willingness to constantly develop in the area of Machine LearningKnowledge of statistics and probabilityProficiency in programmingSelected technologies used :
Python, Java, ScalaPyTorch, NumPy, PandasJupyter NotebooksAdditional advantages will be :
Experience in the ML industryExperience in designing recommendation systemsPractical knowledge of the tools we useSample topics :
Implementation and analysis of new model architectures, such as convolutional networks, transformerAnalyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deploymentExperiments with the use of transfer learningA completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss functionWe Offer :
A very attractive salaryWork in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skillsExtremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can; you can work 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 work immediately visible in the company's business resultsPossibility to publish your results,[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 : Python, Machine learning, TensorFlow, Scala, Java, PyTorch, NumPy, pandas, Deep learning Tools : YouTrack, DokuWiki, GIT, Gerrit, GitHub, Jenkins, Agile, Kanban. Additionally : Training budget, Flat structure, International projects, In-house trainings, Team Events, English lessons.
