Machine Learning Engineer
Core
Building production ML systems for ads monetization and game personalization, powering LTV prediction and user acquisition optimization across a portfolio of games.
Role type
Senior Machine Learning Engineer (MLOps & Backend)
Builds
Real-time ML services, data pipelines, and deployment/monitoring infrastructure for ads and game personalization.
Domain
Mobile Gaming / Ad Tech
Deliverable
production ML models
Required skills
Python, SQL, Data Engineering, MLOps, CI/CD, Model Monitoring, Large-scale data processing, A/B testing
Preferred skills
High-load/low-latency systems, Ad tech, Mobile games
Technologies
Python, ClickHouse, PostgreSQL, Airflow, MLflow, Docker, PyTorch, LightGBM
Responsibilities
Designing and building real-time ML services for ads monetization and in-game personalization; Building data pipelines and performant queries over large-scale behavioral data; Taking models from research to production; Setting up CI/CD, monitoring and model quality tracking.
Seniority
Senior, hands-on IC
