About Us We are a fast-growing tech company operating in the international programmatic advertising market. Our core product is a Demand Side Platform (DSP) capable of handling 70,000 queries per second and delivering 20 million ad impressions per day. Despite having a compact team, we build highly efficient solutions and have already achieved profitability. We combine the agility of a startup with a pragmatic approach, valuing flexibility, fast decision-making, and deep technical expertise. Our primary focus is on developing smart bidding algorithms that optimize ad auctions and maximize campaign efficiency. We work with both In-App and web advertising, covering a variety of geographic markets.
We’re looking for someone who:
Has experience in AdTech
Has excellent knows of Python and knows how to write effective SQL queries;
Has knowledge of basic mathematics, probability theory, and applied statistics;
Has knowledge of how standard Machine Learning algorithms work and has experience in their practical implementation and production support;
Is able to explain their ideas to people who may not have knowledge of mathematics and machine learning, as well as independently convert a business problem into an algorithmic one;
Is able to propose metrics for optimization and different methods for solving the problem;
Likes to work in a team and takes the initiative when necessary.
You will work on:
Developing new machine learning models to improve traffic acquisition;
Maintaining, tuning, and developing existing models;
Conducting experiments on adding new factors to models, as well as measuring quality gains;
Analyzing advertising statistics, searching for insights, and evaluating the results of the models;
Customizing the parameters of advertising campaigns to link them to ML models;
Interacting on tasks with the team: Developer, Data Engineer, DevOps, BI.