RTB House owes its market position to an advanced, innovative bidding system based on Deep Learning. As an ML Researcher, you will be responsible for its development.


Your tasks:

  • 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


Technologies used:

  • Python, Java, Scala
  • PyTorch, NumPy, Pandas
  • Jupyter Notebooks


Our expectations:

  • 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


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


In return, 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
  • Possibility to publish your results


More information: techblog.rtbhouse.com/jobs/ 

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