Senior Machine Learning Engineer
Core
Design, build, and deploy large-scale ML systems and data pipelines to influence game design, live operations, and player engagement at scale for Rockstar Games.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
End-to-end ML pipelines, data products, and scalable ML infrastructure for game analytics.
Domain
Video Games / Data Science / Machine Learning
Deliverable
production ML models
Required skills
Large-scale ML system design, ML pipeline orchestration, model monitoring & optimization, CI/CD implementation, Root Cause Analysis, technical strategy, best practices establishment
Preferred skills
Databricks Genie AI, Agentic frameworks
Technologies
Databricks, MLflow, Airflow, Astronomer, Terraform, GitHub
Responsibilities
Partner with Data Scientists to translate analytical needs into robust ML solutions; Design and build end-to-end ML pipelines including data, features, training, and serving; Push boundaries of ML platform by spearheading advancements in AI and Agentic frameworks; Set up monitoring, A/B testing, and metrics frameworks; Perform Root Cause Analysis to troubleshoot model and data issues; Contribute to technical strategy and architecture scaling; Develop and support CI/CD processes
Seniority
Senior, hands-on IC
