Senior Machine Learning Researcher

👉 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