Описание
Easybrain разрабатывает портфолио игр с миллиардами установок. Их продуктивные ML-модели управляют предсказанием LTV и оптимизацией привлечения пользователей.
Задачи
•Research and develop ad monetization optimization, from studying underlying dynamics and simple heuristics to ML models and potentially reinforcement learning
•Predict LTV and other key user metrics using large-scale behavioral data, improving forecast accuracy through new modeling approaches, data signals, and features
•Build in-game personalization systems for difficulty and content management
•Validate models through A/B tests with the analytical team and bring them to production
•Own models end to end, from problem framing and research through production deployment, validation, and post-launch iteration
Требования
•Experience in predictive modeling and deploying ML models to production, including framing open problems, exploring data, building baselines, and iterating toward an ML solution
•Strong knowledge of Python and hands-on experience with the modern ML stack
•Profound understanding of statistics and machine learning
•B2+ level of English
•Fluent Russian
Будет плюсом: experience in reinforcement learning, recommender systems, ad tech, or mobile games
Условия
•Full relocation support to countries where the company has offices
•High-end market salary with performance bonuses
•All necessary equipment
•Regular company events and monthly Friday meetings
•Social benefits, including private medical cover and sports reimbursement
•Paid vacations and sick days
