About Us
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. Founded in 2012 and now operating in 90+ markets, RTB House is private-by-design, embracing first-party advertising and a relentless approach to innovation. We offer 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.
About the Role
As an ML Researcher, you will be responsible for the development of RTB House's proprietary ad-buying engine.
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
- 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.
We Offer
- Cooperation in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills.
- Extremely flexible cooperation conditions – you cooperate when it is convenient for you and devote as much time as you can; you can cooperate 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 cooperate immediately visible in the company's business results.
- Possibility to publish your results.
- Cooperation based on B2B contract or Contract of Mandate.
- You can cooperate 100% remotely or choose one of our office spaces in Warsaw or Cracow.