RTB House

RTB House

RTB House specializes in providing advanced retargeting technology powered by deep learning algorithms, enabling brands to create highly personalized marketing campaigns that effectively engage online shoppers and drive conversions in a cookieless envi...

Media
251-1K
Founded 2012

Description

  • Design and implement deep neural network models to predict Internet users’ behavior and preferences.
  • Analyze the latest research and developments in machine learning.
  • Conduct and analyze A/B tests for new solutions.
  • Develop and test new approaches to key modeling problems, including bidding in first-price auctions.
  • Implement and analyze new model architectures such as convolutional networks and transformers.
  • Investigate differences between training and production data distributions and identify appropriate solutions.
  • Experiment with transfer learning and other modeling approaches.
  • Support practical optimization of algorithms used at large scale in the RTB environment.

Requirements

  • 4+ years of hands-on experience in Machine Learning or Data Science.
  • Strong interest and willingness to continue developing in Machine Learning.
  • Knowledge of statistics and probability.
  • Proficiency in programming.
  • Experience in the ML industry is an advantage.
  • Experience designing recommendation systems is an advantage.
  • Practical knowledge of the tools used by the team is an advantage.
  • Experience with Python, Java, or Scala.
  • Experience with PyTorch, NumPy, or Pandas.
  • Experience working with Jupyter Notebooks.

Benefits

  • Fully remote work with extremely flexible cooperation conditions.
  • Work on a team of machine learning enthusiasts who actively share knowledge and skills.
  • Access to the latest technologies in a large-scale, highly dynamic project.
  • Opportunity to apply your work to real business outcomes at scale.
  • Ability to publish your results.

Interested in this position?

Apply directly on the company website

Apply Now

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