Senior Machine Learning Researcher

About this role

<p><strong>Location</strong>: <strong>Poland</strong></p> <p>&nbsp;</p> <p><strong>We Are:</strong></p> <p>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&nbsp;their goals at every stage of the funnel. As an&nbsp;<strong>ML Researcher</strong>, you will be responsible for its development.</p> <p>Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It&nbsp;embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end&nbsp;Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer&nbsp;acquisition, create engagement, and fuel long-term demand for a global base of clients.<br><strong><br>You Will:<br></strong></p> <ul> <li>Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users</li> <li>Analysis of the latest works in the field of Machine Learning</li> <li>Conducting and analyzing A/B tests of new solutions</li> <li>Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions</li> </ul> <p><strong>Desired Experience:<br></strong></p> <ul> <li>4+ years of hands-on experience with Machine Learning / Data Science&nbsp;</li> <li>Interest and willingness to constantly develop in the area of ​​Machine Learning</li> <li>Knowledge of statistics and probability</li> <li>Proficiency in programming</li> <li>C1 level in Polish</li> </ul> <p><strong>Selected technologies used:</strong></p> <ul> <li>Python, Java, Scala</li> <li>PyTorch, NumPy, Pandas</li> <li>Jupyter Notebooks</li> </ul> <p><strong>Additional advantages will be:</strong></p> <ul> <li>Experience in the ML industry</li> <li>Experience in designing recommendation systems</li> <li>Practical knowledge of the tools we use</li> </ul> <p><strong>Sample topics:</strong></p> <ul> <li>Implementation and analysis of new model architectures, such as convolutional networks, transformer</li> <li>Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment</li> <li>Experiments with the use of transfer learning</li> <li>A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function</li> </ul> <p><strong>We Offer:</strong></p> <p>&nbsp;</p> <ul> <li>Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills</li> <li>Extremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can; you can&nbsp;cooperate fully remotely</li> <li>Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;</li> <li>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</li> <li>The effects of your cooperate immediately visible in the company's business results</li> <li>Possibility to publish your results</li> <li>Cooperation based on B2B contract or Contract of Mandate&nbsp;</li> <li>You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.</li> </ul> <p style="text-align: center;">Apply now!</p> <p style="text-align: center;">You don't need to tick every box to apply. If you are passionate about digital marketing, send us your&nbsp;CV, and we'll review it.</p>