- Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day).
- Using ML models which are at the heart of our technology to serve the following use-cases:
○Predicting mobile users’ favorite games based on their gaming and behavioral history
○Predicting the value of the user’s in-app transactions for mobile game developers
○Optimizing our bidding prices in real-time auctions (RTB)
○Optimizing infrastructure utilization
○Detecting and eliminating fraud
○Detecting image content in ads
- Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company
- Working with the following cutting-edge technologies:
○AWS, GCP
○Google BigQuery
○Databricks and Spark
○Python and classic ML libraries
○, PyTorch Lightning
○Experiment Management platforms such as: MLFLOW, Optuna