Staff Applied Modeling Engineer - Unpublished R&D Product
Riot Games Β· Data
About this role
ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale. They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games. As a Staff Applied Modeling Engineer on an unpublished R&D product, you will lead the modeling strategy for the team - establishing architecture patterns, setting standards, and continuing to design solutions for the highest-complexity problems directly
Your work will span multi-month efforts and across multiple disciplines, shaping how the team (and Riot) approach applied ML. You will report to the Senior Engineering Manager of the Tech Foundations team within an R&D game project. Responsibilities: Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements Establish AI/ML architecture patterns within the project and design solutions for high-complexity problems; guide solution design considering integration and operational constraints Refine modeling and feature invention strategy for the project; improve architecture trade-offs, signal extraction techniques, and quality standards for complex data sources Refine multi-model system design and model optimization; improve interaction analysis, dependency management, and performance evaluation techniques Establish pipeline architecture patterns within the project, aligning with Riotβs shared tech ecosystem; guide workflow design and deployment automation; set reliability standards Establish research-to-production practices in partnership with research scientists; balance cutting-edge techniques with production reliability Elevate the teamβs expertise in advanced AI/ML methods for game development through mentorship and documentation, and contribute to team hea
Apply for this role on Riot Gamesβs official careers site.